{"id":"W7037840389","doi":"","title":"Évaluation d'implantation et des effets du programme Mobilisation Jeunesse en milieu rural","year":2003,"lang":"fr","type":"report","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rural development; Rural population; Social mobilization; Community participation","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":[0.01991316,0.001087837,0.001348986,0.001434579,0.001194839,0.001859653,0.001235397,0.001677699,0.01272791],"category_scores_gemma":[0.04177014,0.0003329368,0.001755746,0.001384663,0.001222293,0.00115439,0.002353093,0.001496085,0.0007292528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003832012,"about_ca_system_score_gemma":0.01029098,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01096724,"about_ca_topic_score_gemma":0.01503508,"domain_scores_codex":[0.9756716,0.01751224,0.001368404,0.001010279,0.003138086,0.001299382],"domain_scores_gemma":[0.9746221,0.01592837,0.002519525,0.0009153364,0.003390563,0.002624027],"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":[0.05191644,0.02647607,0.02117389,0.01499026,0.001741492,0.0003237655,0.00860735,0.0030348,0.002662599,0.004553702,0.002653123,0.8618665],"study_design_scores_gemma":[0.04750954,0.5513406,0.2610261,0.02259531,0.00840764,0.0003526697,0.02111198,0.003928067,0.01077139,0.004783004,0.0679412,0.0002325188],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9217505,0.00886749,0.00372207,0.0035377,0.001064501,0.02903258,0.001355793,0.0001793391,0.03049002],"genre_scores_gemma":[0.9436212,0.007244756,0.01092704,0.001066886,0.0002625482,0.02415141,0.0004959317,0.00004081527,0.01218947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9890327,"threshold_uncertainty_score":0.105312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03762976329672078,"score_gpt":0.257125408687281,"score_spread":0.2194956453905602,"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."}}