{"meta":{"query_hash":"fd5ce47e605d","filters":{"venue":"International conference Recent advances in natural language processing"},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/fd5ce47e605d","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+conference+Recent+advances+in+natural+language+processing"},"results":[{"id":"W7122474954","doi":"10.26615/978-954-452-098-4-009","title":"From Posts to Predictions: A User-Aware Framework for Faithful and Transparent Detection of Mental Health Risks on Social Media","year":2025,"lang":"","type":"article","venue":"International conference Recent advances in natural language processing","topic":"Mental Health via Writing","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Social media; Mental health; The Internet; Public health; Social isolation; Perception","score_opus":0.06462961724176358,"score_gpt":0.4654507731808806,"score_spread":0.400821155939117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7122474954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5346833,0.29366028,0.120481566,0.02166315,0.019040287,0.004697033,0.004637893,0.0001588693,0.000977643],"genre_scores_gemma":[0.988011,0.005768622,0.004391445,0.0007567129,0.0005005737,0.0002050175,0.00031438496,0.000025761688,0.000026494594],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9968812,0.00023370187,0.0010864132,0.00079320034,0.00050041714,0.0005050805],"domain_scores_gemma":[0.9980691,0.0007604947,0.00060578424,0.00013380904,0.00030342242,0.00012740104],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041738572,0.00034316233,0.00055111747,0.0005285398,0.00031921506,0.00009975244,0.00037116016,0.00025371206,0.00014839867],"category_scores_gemma":[0.00053625624,0.00036514725,0.00007731669,0.00047535653,0.00012859695,0.00037060116,0.00008463999,0.00080421835,0.0000023585187],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024779597,0.00025690187,0.0011211765,0.0007025663,0.000056744208,0.0000026661355,0.026716469,0.000020595895,0.00048199642,0.0019327858,0.000015368329,0.9662148],"study_design_scores_gemma":[0.028288504,0.0035027668,0.12669049,0.14047046,0.00034994038,0.0000501803,0.48623613,0.09865645,0.032537974,0.04922373,0.029963803,0.0040295785],"about_ca_topic_score_codex":0.0003006488,"about_ca_topic_score_gemma":0.0018559733,"teacher_disagreement_score":0.9621852,"about_ca_system_score_codex":0.00082857703,"about_ca_system_score_gemma":0.0002705505,"threshold_uncertainty_score":0.9998801},"labels":[],"label_agreement":null},{"id":"W7125000707","doi":"10.26615/978-954-452-098-4-142","title":"Demographic Features for Annotation-Aware Classification","year":2025,"lang":"","type":"article","venue":"International conference Recent advances in natural language processing","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Population; Identification (biology); Feature (linguistics); Set (abstract data type); Field (mathematics)","score_opus":0.02015870596706755,"score_gpt":0.362967026904323,"score_spread":0.34280832093725544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7125000707","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001242715,0.2178216,0.74530536,0.01856895,0.00519574,0.0009934198,0.00009521692,0.00022507309,0.010551945],"genre_scores_gemma":[0.9670709,0.01670237,0.012839922,0.0004965354,0.00022165109,0.00016324525,0.0007180144,0.000016991793,0.0017704084],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99690324,0.0001689391,0.00080155145,0.0010844449,0.0005643107,0.0004775199],"domain_scores_gemma":[0.9972307,0.0003114445,0.0006290558,0.00042710267,0.0013297535,0.000071925366],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006015815,0.00038728802,0.0003399871,0.0009143434,0.0003426043,0.001055487,0.0016399166,0.00021041349,0.000052537966],"category_scores_gemma":[0.0010871798,0.00038005516,0.00011046989,0.0014991731,0.00016181952,0.0028563053,0.00019989179,0.00079635164,0.0000066256125],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014346368,0.00010646809,0.0026706755,0.0003090787,0.000023829654,0.0000034842976,0.0010577159,0.00014359833,0.00069750234,0.04634678,0.00009749264,0.9483999],"study_design_scores_gemma":[0.001133085,0.00004298421,0.01690664,0.0016240292,0.000029178182,0.000008660609,0.0018602526,0.91264653,0.00035897893,0.0056307768,0.05926438,0.00049448665],"about_ca_topic_score_codex":0.00002430387,"about_ca_topic_score_gemma":0.00035658124,"teacher_disagreement_score":0.9658281,"about_ca_system_score_codex":0.00030229465,"about_ca_system_score_gemma":0.0004644072,"threshold_uncertainty_score":0.9999815},"labels":[],"label_agreement":null}]}