{"id":"W7104444213","doi":"10.71781/23318","title":"Les atouts développementaux : une perspective longitudinale sur une population québécoise","year":2024,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Child and Adolescent Psychosocial and Emotional Development","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Research methodology; Statistical analysis; Rural population","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":[0.001595031,0.0004185554,0.0003742929,0.00180889,0.003582508,0.001554453,0.0006795534,0.000492371,0.002736754],"category_scores_gemma":[0.002386201,0.0002886483,0.0003898903,0.002843323,0.0007838932,0.00153201,0.0007565576,0.001033266,0.0002398833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01008373,"about_ca_system_score_gemma":0.009383677,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.964108,"about_ca_topic_score_gemma":0.975646,"domain_scores_codex":[0.9995164,0.0001217094,0.00002041413,0.0000993873,0.0000951324,0.0001471412],"domain_scores_gemma":[0.9979414,0.0003195264,0.0002788631,0.00008505096,0.001041764,0.0003333581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005497444,0.00007634847,0.9522188,0.00006313216,0.00005733483,0.0003373013,0.03401998,0.0001516646,0.0003794202,0.000580232,0.00101405,0.01104674],"study_design_scores_gemma":[0.000002832873,0.00005873801,0.9708675,0.0001289472,0.00004297783,0.00007819208,0.02491361,0.0002411483,0.0001016936,0.0001158254,0.003431478,0.00001702471],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947707,0.0008585891,0.0003657306,0.0006466789,0.00001428414,0.00002974795,0.001376846,0.000005005845,0.001932313],"genre_scores_gemma":[0.993872,0.00125665,0.0005088536,0.000203337,0.00001032982,0.00007706841,0.001151383,0.000005713341,0.00291464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03589201,"threshold_uncertainty_score":0.07316297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06427066394606917,"score_gpt":0.3867047988144998,"score_spread":0.3224341348684306,"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."}}