{"id":"W7128757204","doi":"","title":"Analyse des mesures anthropométriques et de la composition corporelle des cégépiens et des cégépiennes : rapport synthèse 2 : points saillants","year":2004,"lang":"fr","type":"other","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Point (geometry); Context (archaeology); Order (exchange)","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":[0.0005712218,0.0007230978,0.0004244272,0.005128476,0.001676351,0.001422858,0.0006128752,0.000388084,0.007897777],"category_scores_gemma":[0.0009523456,0.0002329094,0.0004556419,0.006116699,0.0007259446,0.0003667582,0.0004948527,0.0003459283,0.0009973908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004303942,"about_ca_system_score_gemma":0.003501555,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7660115,"about_ca_topic_score_gemma":0.8870918,"domain_scores_codex":[0.9996672,0.00004084503,0.000008887843,0.0000902491,0.0001350697,0.00005775199],"domain_scores_gemma":[0.9995463,0.00008279325,0.00004321145,0.00003047304,0.0002563549,0.00004082872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005710861,0.00008144813,0.7060651,0.000560773,0.0005812218,0.0005606289,0.01101985,0.001800522,0.03172233,0.003506339,0.006851697,0.236679],"study_design_scores_gemma":[0.000002431675,0.00001854391,0.9831428,0.00003004034,0.00004499875,0.00007781497,0.001695716,0.0002557116,0.003079578,0.0001582753,0.0114812,0.00001284651],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.94591,0.006093047,0.005342775,0.0004210405,0.0000431217,0.00008409213,0.008880676,0.000113932,0.03311135],"genre_scores_gemma":[0.9442965,0.002085714,0.005529355,0.000123988,0.00002254313,0.00006834099,0.003251805,0.00008179159,0.04454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7660115,"threshold_uncertainty_score":0.470733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01492517167233248,"score_gpt":0.277302833977902,"score_spread":0.2623776623055695,"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."}}