{"id":"W6996017526","doi":"","title":"Questionnaire du climat social de lâÃ©quipe dâintervenants (QCSÃI) : structure factorielle et validitÃ© de critÃ¨re dans un Ã©chantillon dâintervenants quÃ©bÃ©cois","year":2010,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Statistical analysis; Term (time); Social risk","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":[0.003745655,0.0003931411,0.0005680938,0.001601377,0.0008627184,0.0009606878,0.0007891076,0.0006149878,0.007889797],"category_scores_gemma":[0.0108141,0.0003284966,0.0008932592,0.001387987,0.0007113581,0.001113027,0.001618298,0.001645472,0.001337928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001902417,"about_ca_system_score_gemma":0.002288128,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01190799,"about_ca_topic_score_gemma":0.02031913,"domain_scores_codex":[0.9978318,0.0006360906,0.0002721461,0.0002290217,0.000864041,0.0001668988],"domain_scores_gemma":[0.9896367,0.003319974,0.002601534,0.0007027288,0.002630693,0.001108331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009026278,0.000952439,0.8123234,0.00139047,0.0005883289,0.0001977911,0.01855788,0.0007929683,0.003501442,0.004756481,0.02509928,0.130937],"study_design_scores_gemma":[0.00005372703,0.0002693396,0.9685608,0.0001342244,0.00003875815,0.00007583854,0.003403552,0.0004756486,0.0004312428,0.0005053031,0.02601358,0.00003798773],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9470024,0.001001295,0.005546889,0.001387685,0.0002629335,0.004070484,0.01016846,0.0001618563,0.0303979],"genre_scores_gemma":[0.9292619,0.001369313,0.02087802,0.0007714625,0.0001233221,0.01357083,0.0123935,0.00009613581,0.02153558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.988092,"threshold_uncertainty_score":0.02639401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004196096273627888,"score_gpt":0.1744582601018369,"score_spread":0.170262163828209,"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."}}