{"meta":{"query_hash":"a8cfa44cda28","filters":{"venue":"Workshop on Statistical Machine Translation"},"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/a8cfa44cda28","api":"https://metacan.xera.ac/api/v1/cohort?venue=Workshop+on+Statistical+Machine+Translation"},"results":[{"id":"W2294935421","doi":"","title":"LIMSI $@$ WMT13","year":2013,"lang":"en","type":"article","venue":"Workshop on Statistical Machine Translation","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.019263307893557426,"score_gpt":0.2953767713408867,"score_spread":0.2761134634473293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2294935421","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00017109697,0.00073727494,0.99126714,0.004148015,0.0001298733,0.0002656528,0.000008901224,0.0007094235,0.0025626204],"genre_scores_gemma":[0.4732746,0.0000074346417,0.5260366,0.00051520125,0.000028493067,0.000026867225,0.000019873192,0.000009523427,0.00008136084],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99874544,0.00007828307,0.00023898056,0.00035859417,0.0003226952,0.00025601508],"domain_scores_gemma":[0.9989023,0.00052759564,0.000049275928,0.00034510967,0.00006163314,0.000114042356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014482059,0.00016474466,0.00014948938,0.00010741654,0.000099270284,0.00024266394,0.00043889834,0.000088342815,0.00028179106],"category_scores_gemma":[0.000105250554,0.00013329281,0.00003581003,0.00032295813,0.000044437358,0.00048035212,0.000033930803,0.00032004894,0.00032717493],"study_design_candidate":"theoretical_or_conceptual","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":[0.0000064540145,0.00003875804,0.000017819355,0.00000923643,0.000003826856,0.000007212915,0.00010446203,0.00001482894,0.00036594385,0.26934564,0.001012378,0.72907346],"study_design_scores_gemma":[0.0004929726,0.00015655343,0.001740886,0.000090337475,0.000012799737,0.00001795273,0.000007340814,0.49656683,0.0010479792,0.4970198,0.002358739,0.00048779714],"about_ca_topic_score_codex":0.000048928825,"about_ca_topic_score_gemma":0.00000959814,"teacher_disagreement_score":0.72858566,"about_ca_system_score_codex":0.000026851192,"about_ca_system_score_gemma":0.00001739325,"threshold_uncertainty_score":0.5435523},"labels":[],"label_agreement":null},{"id":"W2916862886","doi":"","title":"LIMSI @ WMT'13","year":2013,"lang":"en","type":"article","venue":"Workshop on Statistical Machine Translation","topic":"Natural Language Processing Techniques","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":"University of Calgary","funders":"","keywords":"German; Computer science; Task (project management); Natural language processing; Machine translation; Artificial intelligence; Language model; Space (punctuation); Code (set theory); Open source; Linguistics; Programming language; Set (abstract data type); Engineering","score_opus":0.018850442304512997,"score_gpt":0.29440029693052794,"score_spread":0.27554985462601495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2916862886","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00025909054,0.000761513,0.98958385,0.006439037,0.00013862367,0.0002807194,0.0000104476185,0.0007249378,0.0018017794],"genre_scores_gemma":[0.48810676,0.000008309191,0.5109009,0.0008277933,0.000032303218,0.000028659912,0.000023588113,0.0000106786465,0.000060989918],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99866706,0.000084210405,0.0002555955,0.00037977303,0.00034255043,0.00027082136],"domain_scores_gemma":[0.99884105,0.00055794115,0.000053647742,0.00036062297,0.00006597888,0.00012077129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015555332,0.00017607973,0.00016044581,0.00011268235,0.00010566594,0.00025553294,0.00045945978,0.000095704105,0.00023845606],"category_scores_gemma":[0.00011237759,0.00014298408,0.000038478425,0.00033813872,0.00004831249,0.000497036,0.000036418107,0.00034407098,0.00026590322],"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":[0.0000087723065,0.000048454036,0.000030941228,0.000012216074,0.0000048888396,0.000009153982,0.00013946017,0.000024244748,0.00039083185,0.16281138,0.0017598907,0.8347598],"study_design_scores_gemma":[0.00053436414,0.0001655431,0.0025088824,0.00010043259,0.000014576911,0.000018515462,0.000007953707,0.5544641,0.00094462204,0.4384373,0.002287264,0.0005164423],"about_ca_topic_score_codex":0.00007603571,"about_ca_topic_score_gemma":0.000019176994,"teacher_disagreement_score":0.8342433,"about_ca_system_score_codex":0.000027994241,"about_ca_system_score_gemma":0.000014345836,"threshold_uncertainty_score":0.5830721},"labels":[],"label_agreement":null}]}