{"id":"W7018958455","doi":"","title":"En avant toute !⦠Le Canadian Surgery Forum canadien de chirurgie","year":2001,"lang":"fr","type":"article","venue":"Europe PMC (PubMed Central)","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"MEDLINE; Context (archaeology); Closure (psychology); Laser surgery","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00677013,0.001070415,0.001231055,0.002192569,0.009479362,0.01182517,0.001764607,0.007516473,0.1328962],"category_scores_gemma":[0.01631586,0.0004379061,0.001244031,0.001803028,0.004786196,0.005235118,0.004153012,0.009206608,0.0403158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02029133,"about_ca_system_score_gemma":0.0809995,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5922483,"about_ca_topic_score_gemma":0.7122185,"domain_scores_codex":[0.993279,0.0005383074,0.0001646808,0.0002739598,0.003774879,0.001969187],"domain_scores_gemma":[0.9807749,0.0008215059,0.0004411822,0.0004315153,0.01051073,0.007020182],"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":[0.00004443759,0.00002108288,0.0002309209,0.0001099955,0.000007581864,0.00005731888,0.0001385917,0.00001980211,0.0001713999,0.004396572,0.9681483,0.02665396],"study_design_scores_gemma":[0.000007996251,0.000006959126,0.0005241793,0.00007964846,0.00000488575,0.00004122547,0.000279668,0.00001302427,0.00005787606,0.000505343,0.998468,0.00001117815],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001324073,0.0414598,0.0005243354,0.6547141,0.1796757,0.0001127139,0.0006442302,0.0004497649,0.1210953],"genre_scores_gemma":[0.01447058,0.02356135,0.001317193,0.1167133,0.02655202,0.00006866492,0.0005016814,0.0003000656,0.8165151],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4077517,"threshold_uncertainty_score":0.8203061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0255216403351779,"score_gpt":0.2336868914609241,"score_spread":0.2081652511257462,"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."}}