{"id":"W4405073860","doi":"10.46747/cfp.701112759","title":"Démonter pour mieux reconstruire","year":2024,"lang":"fr","type":"article","venue":"Canadian Family Physician","topic":"Military, Security, and Education Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Computer science; Medicine; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002732485,0.001000366,0.0005863405,0.001347528,0.006830272,0.006999061,0.002263986,0.005526853,0.3034023],"category_scores_gemma":[0.01513417,0.0005352602,0.00100642,0.0008284071,0.002700869,0.01100562,0.005725247,0.01002547,0.1832929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002875295,"about_ca_system_score_gemma":0.007957586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02177699,"about_ca_topic_score_gemma":0.04230669,"domain_scores_codex":[0.9975254,0.0006091353,0.00009594442,0.0002866153,0.001020439,0.0004624834],"domain_scores_gemma":[0.9913533,0.00080646,0.0002732644,0.0009224508,0.004396792,0.002247647],"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":[0.00001184069,0.00001906042,0.0002438766,0.0000398085,0.000002705643,0.000161016,0.000705276,0.00001982788,0.0001477239,0.00685868,0.9600379,0.03175215],"study_design_scores_gemma":[0.000003116165,0.000006066667,0.0001889046,0.00009769288,0.000002165271,0.0002058255,0.001005337,0.00002521515,0.00007490587,0.002545964,0.9958353,0.000009539029],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.002581126,0.005558004,0.0107098,0.4650293,0.06919815,0.0002446235,0.001276352,0.006050578,0.4393521],"genre_scores_gemma":[0.02078438,0.003872108,0.01138891,0.1325718,0.009855399,0.00026828,0.001204649,0.003275696,0.8167788],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3034023,"threshold_uncertainty_score":0.9936121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04105228950846199,"score_gpt":0.289882340255897,"score_spread":0.248830050747435,"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."}}