{"id":"W7048874759","doi":"","title":"Les facteurs de risque des dÃ©sordres temporo-mandibulaires","year":2000,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Risk factor; Population; Risk assessment; Set (abstract data type)","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":[],"consensus_categories":[],"category_scores_codex":[0.0004214821,0.0003761558,0.0002623168,0.001512944,0.0008152716,0.001196538,0.0004252082,0.0005613801,0.01548861],"category_scores_gemma":[0.004794539,0.000278984,0.0002938019,0.001896164,0.0005567553,0.0005828711,0.000390844,0.001027321,0.00303829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001295358,"about_ca_system_score_gemma":0.002033325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07386459,"about_ca_topic_score_gemma":0.1102263,"domain_scores_codex":[0.9995452,0.00003604018,0.00005174505,0.00005842416,0.000214272,0.00009434252],"domain_scores_gemma":[0.998655,0.0004346582,0.0004684211,0.0000627101,0.0002329312,0.000146186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00101373,0.00008271029,0.7185524,0.0004783265,0.0002019229,0.005269072,0.001772159,0.0007038378,0.00440641,0.00645101,0.02144773,0.2396207],"study_design_scores_gemma":[0.00003933808,0.0001956547,0.8503358,0.0002804517,0.0001930666,0.02416369,0.001786715,0.0003820194,0.003876371,0.001648978,0.1170324,0.00006549563],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8534557,0.02577834,0.001236491,0.002366076,0.0002931495,0.00004723624,0.01546668,0.0002539152,0.1011025],"genre_scores_gemma":[0.9158216,0.02133229,0.001794986,0.0004512855,0.0004106026,0.00007145674,0.006759854,0.0001546363,0.05320338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07386459,"threshold_uncertainty_score":0.1468693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00448698786145172,"score_gpt":0.1653294861973622,"score_spread":0.1608424983359105,"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."}}