{"id":"W4403423228","doi":"10.46747/cfp.7010671","title":"Dans l’œil de la tempête","year":2024,"lang":"fr","type":"article","venue":"Canadian Family Physician","topic":"Education, Leadership, and Health Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web; Data science; Library science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001377202,0.0001838773,0.0001802801,0.0002567584,0.0009513385,0.000438655,0.0004340439,0.000293014,0.00009674384],"category_scores_gemma":[0.00004924883,0.0002233916,0.0001234931,0.001329852,0.001375321,0.0003219274,0.00001183319,0.0006692494,0.001682613],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002785794,"about_ca_system_score_gemma":0.0176772,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5754379,"about_ca_topic_score_gemma":0.5358764,"domain_scores_codex":[0.9967759,0.0008148834,0.0001978894,0.0003936881,0.0003574202,0.001460252],"domain_scores_gemma":[0.9975153,0.0004946817,0.00002669611,0.0002552283,0.00008973482,0.001618409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001182952,0.00003776565,0.0005711905,0.000352646,0.00003918269,0.0000787044,0.05308347,0.000005811119,0.00009919438,0.5120858,0.346637,0.08700803],"study_design_scores_gemma":[0.00004882683,0.00002668662,0.007141382,0.0003333666,0.00002516269,6.181434e-7,0.08095428,0.0001624172,0.00001172197,0.01457786,0.8965061,0.0002116206],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02903655,0.03651979,0.00002560479,0.07077347,0.003732489,0.0002685029,0.0001257562,0.00007363318,0.8594442],"genre_scores_gemma":[0.8037218,0.002626596,0.0001338547,0.0748138,0.009178371,0.00006355031,0.00002762615,0.00008573582,0.1093486],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7746853,"threshold_uncertainty_score":0.9990947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08978202428600945,"score_gpt":0.3971915969426628,"score_spread":0.3074095726566533,"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."}}