{"id":"W7008563800","doi":"","title":"Chapitre 3. Comprendre les parcours de consommation des jeunes du Québec et optimiser les stratégies d'intervention : 15 ans de recherche multidisciplinaire au service du terrain","year":2008,"lang":"fr","type":"other","venue":"Cairn.info","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Service (business); Context (archaeology); Field (mathematics); Qualitative research","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":[0.002863133,0.0006912049,0.0005521472,0.002079721,0.004987866,0.004852913,0.001440171,0.001796466,0.02385879],"category_scores_gemma":[0.004857094,0.0003012475,0.0006928341,0.002261322,0.001297789,0.001126081,0.001308373,0.001742123,0.002094221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02310649,"about_ca_system_score_gemma":0.05759666,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9122292,"about_ca_topic_score_gemma":0.968604,"domain_scores_codex":[0.9982266,0.0004735678,0.00006171728,0.0001575194,0.0007038584,0.000376685],"domain_scores_gemma":[0.9971826,0.0004986387,0.0001663326,0.00008772118,0.001679992,0.0003847534],"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":[0.0002408589,0.000433687,0.05894239,0.004005244,0.000198261,0.002339683,0.05614418,0.006448196,0.005012599,0.06543451,0.3852116,0.4155888],"study_design_scores_gemma":[0.0000636465,0.0001603016,0.1277448,0.005778529,0.0001194891,0.0005327239,0.07198162,0.002191029,0.002885394,0.006988651,0.7814258,0.0001279476],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1776958,0.04713852,0.03728715,0.1139255,0.004694775,0.003652437,0.01984185,0.0009415124,0.5948225],"genre_scores_gemma":[0.4169122,0.03989239,0.05735241,0.01271682,0.0007132865,0.001409038,0.008049506,0.000329014,0.4626254],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08777082,"threshold_uncertainty_score":0.1765754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1120877276159584,"score_gpt":0.3382339569116618,"score_spread":0.2261462292957034,"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."}}