{"id":"W6886048301","doi":"10.14288/cl.v0i235.190516","title":"Vancouver 2018","year":2018,"lang":"fr","type":"article","venue":"Open Collections","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Work (physics); Government (linguistics); Perspective (graphical); Identification (biology); Field (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004989699,0.0002819784,0.000310577,0.0001377163,0.009339277,0.003590139,0.0008705014,0.0002222993,0.1498877],"category_scores_gemma":[0.0002189261,0.0003403544,0.0001213703,0.005569719,0.0009095375,0.00116113,0.000720144,0.0003011763,0.07587168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001093083,"about_ca_system_score_gemma":0.001067995,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1064082,"about_ca_topic_score_gemma":0.5140028,"domain_scores_codex":[0.9977381,0.0002951744,0.000365296,0.0005983735,0.000275075,0.0007280405],"domain_scores_gemma":[0.997997,0.0001127542,0.0001568673,0.0008363945,0.0005850131,0.0003119906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000100833,0.000597357,0.00002403017,0.000007083956,0.0001868837,0.000009337553,0.0003024833,0.00001641192,0.0001538784,0.0005270681,0.9971294,0.0009452193],"study_design_scores_gemma":[0.001201972,0.0005531089,0.00007599386,0.00009770126,0.0001843784,0.0000576154,0.0004052407,0.001053494,0.001106523,0.004296606,0.9905509,0.0004164564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00004804335,0.0004244543,0.0007020455,0.0009737636,0.02429345,0.001288827,0.0007706478,0.0001214082,0.9713774],"genre_scores_gemma":[0.00120717,0.00004493342,0.006126076,0.0004023193,0.00236178,0.0002121287,0.000008771763,0.0001593603,0.9894775],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4075946,"threshold_uncertainty_score":0.9999049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03170719944323555,"score_gpt":0.3020672927016759,"score_spread":0.2703600932584403,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}