{"id":"W7133551535","doi":"10.3917/psca.071.0034","title":"Outil de dépistage pour troubles concomitants : traduction canadienne-française et études des propriétés psychométriques du Global Appraisal of Individual Needs - Short Screener (GAIN-SS)","year":2016,"lang":"fr","type":"article","venue":"Psy Cause","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Validation test; Subjectivity","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":[0.04311887,0.0009048342,0.00117776,0.00347793,0.002264092,0.003127299,0.001092743,0.0009445002,0.004826965],"category_scores_gemma":[0.06606565,0.000577737,0.001650224,0.003567358,0.002598712,0.00226413,0.003097187,0.002023835,0.000623923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006897865,"about_ca_system_score_gemma":0.01517352,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08675898,"about_ca_topic_score_gemma":0.1208408,"domain_scores_codex":[0.9722597,0.01434902,0.002585671,0.001975384,0.007729741,0.001100507],"domain_scores_gemma":[0.9423561,0.02577605,0.007358194,0.005165458,0.01799681,0.001347344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00101416,0.0004318069,0.4190119,0.00296497,0.00102302,0.0004913616,0.06544218,0.0007791292,0.001998786,0.01160265,0.01183584,0.4834042],"study_design_scores_gemma":[0.0002329072,0.0008761262,0.8901963,0.0039726,0.0007449584,0.0009317687,0.02524222,0.001372213,0.003535816,0.004160052,0.068453,0.0002819852],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9364982,0.01070214,0.01556896,0.005781773,0.0006794438,0.001550681,0.003173751,0.0001750219,0.02587003],"genre_scores_gemma":[0.9702799,0.003311648,0.01415755,0.0008356117,0.00008191882,0.001910573,0.001426233,0.0001120095,0.007884655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.913241,"threshold_uncertainty_score":0.2280371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1131055439317877,"score_gpt":0.4166512730734827,"score_spread":0.303545729141695,"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."}}