{"id":"W6992409172","doi":"","title":"Le modèle multifactoriel: Est-il une alternative au MEDAF?","year":2011,"lang":"fr","type":"other","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Université de Montréal","keywords":"Set (abstract data type); Context (archaeology); Identification (biology); Product (mathematics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.01136025,0.001241563,0.001589018,0.002670805,0.001031473,0.004726179,0.003073309,0.001937585,0.05869985],"category_scores_gemma":[0.07230289,0.0006026447,0.001902296,0.004709677,0.0008583496,0.003471339,0.001420747,0.002244956,0.006141455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003866648,"about_ca_system_score_gemma":0.007525842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.162826,"about_ca_topic_score_gemma":0.1374519,"domain_scores_codex":[0.9945928,0.004041319,0.0001343829,0.0004396859,0.0005583023,0.0002334567],"domain_scores_gemma":[0.9680136,0.02549698,0.0007107534,0.002285714,0.002875536,0.0006175239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001007907,0.0002594927,0.01417715,0.001064846,0.001263507,0.0003115811,0.0006650424,0.05208394,0.0002077649,0.2139769,0.2290216,0.4859603],"study_design_scores_gemma":[0.0008329721,0.0002487489,0.01033331,0.002093922,0.001192546,0.0004293116,0.0009566506,0.4022077,0.000898165,0.3803078,0.2002881,0.0002106899],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03468376,0.01567716,0.7459408,0.1011588,0.002814855,0.000412602,0.02676018,0.005433828,0.06711809],"genre_scores_gemma":[0.5177648,0.0128012,0.3560478,0.005737852,0.002503983,0.0007800873,0.01231312,0.003737929,0.08831327],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.162826,"threshold_uncertainty_score":0.3237565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01278947489546099,"score_gpt":0.1768988746277992,"score_spread":0.1641093997323382,"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."}}