{"meta":{"query_hash":"68adf029d1b5","filters":{"venue":"DÉBATS SCIENTIFIQUES ET ORIENTATIONS PROSPECTIVES DU DÉVELOPPEMENT SCIENTIFIQUE"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"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/68adf029d1b5","api":"https://metacan.xera.ac/api/v1/cohort?venue=D%C3%89BATS+SCIENTIFIQUES+ET+ORIENTATIONS+PROSPECTIVES+DU+D%C3%89VELOPPEMENT+SCIENTIFIQUE"},"results":[{"id":"W4392744453","doi":"10.36074/logos-01.03.2024.063","title":"DEVELOPING IDEA OF UNIVERSAL GRAMMAR VIA NONINVASIVE IMAGING TECHNIQUES","year":2024,"lang":"fr","type":"article","venue":"DÉBATS SCIENTIFIQUES ET ORIENTATIONS PROSPECTIVES DU DÉVELOPPEMENT SCIENTIFIQUE","topic":"Educational Technology and Pedagogy","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":"Université de Montréal","funders":"","keywords":"Computer science; Grammar; Natural language processing; Artificial intelligence; Linguistics; Philosophy","score_opus":0.045553550534422234,"score_gpt":0.3522380522702233,"score_spread":0.3066845017358011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392744453","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06446084,0.010182785,0.89859307,0.0029601152,0.00021091323,0.00014838183,0.00042085303,0.0011154719,0.021907577],"genre_scores_gemma":[0.38937402,0.012041905,0.59161526,0.001695591,0.0003491843,0.00050510257,0.00035602498,0.00028858837,0.0037742972],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996973,0.000062613166,0.000012028986,0.00011195606,0.0000898703,0.000026196212],"domain_scores_gemma":[0.9994118,0.00025884574,0.000094468574,0.00010354811,0.00009490237,0.00003642011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007868745,0.0004381711,0.00028811488,0.0010461207,0.00028340524,0.00074652216,0.0008202978,0.00097586267,0.001826168],"category_scores_gemma":[0.0019246202,0.00040185437,0.00032277298,0.00045762642,0.0017959243,0.0023581749,0.00087812357,0.001983622,0.00059235416],"study_design_candidate":"simulation_or_modeling","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":[0.00016115454,0.00015408272,0.0060321083,0.0008793745,0.00007545372,0.001660399,0.00084820745,0.0020658197,0.6828636,0.07647271,0.0039283508,0.22485867],"study_design_scores_gemma":[0.00010539803,0.0010807295,0.023297213,0.0007997384,0.00027529575,0.018823586,0.00097087264,0.052920036,0.5093005,0.2891241,0.103032984,0.0002695332],"about_ca_topic_score_codex":0.0005306347,"about_ca_topic_score_gemma":0.0006503239,"teacher_disagreement_score":0.001826168,"about_ca_system_score_codex":0.0004111553,"about_ca_system_score_gemma":0.00047631108,"threshold_uncertainty_score":0.0061091185},"labels":[],"label_agreement":null}]}