{"id":"W7001763033","doi":"","title":"Les énergies renouvelables et les populations rurales pauvres : le cas du Maroc","year":2013,"lang":"fr","type":"other","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"GDG Environnement","funders":"","keywords":"Dispose pattern; Population; Forge; Regional development","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005040615,0.0002319328,0.0002368709,0.0005251507,0.001345629,0.001672888,0.0004282505,0.0005797294,0.00388095],"category_scores_gemma":[0.001151811,0.0001037616,0.0002194303,0.0008029543,0.001133264,0.001131447,0.001137649,0.0007674394,0.0002649548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001700411,"about_ca_system_score_gemma":0.001644186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08048961,"about_ca_topic_score_gemma":0.1749019,"domain_scores_codex":[0.9995267,0.0001700703,0.000009892802,0.0000618065,0.00008396886,0.0001475308],"domain_scores_gemma":[0.9994395,0.0001141438,0.0001632817,0.00001949174,0.0001299779,0.0001335604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006664078,0.0004584631,0.6810374,0.001349166,0.0003043677,0.004126865,0.06913835,0.002279632,0.008726563,0.05893395,0.00575461,0.1672243],"study_design_scores_gemma":[0.00002273878,0.0006202532,0.777296,0.0007068014,0.0001170888,0.000981043,0.09310448,0.000866715,0.001477685,0.004596813,0.1201452,0.00006517115],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748215,0.00355215,0.0004144755,0.003746171,0.00006274783,0.00001777394,0.0001839222,0.000007295808,0.01719397],"genre_scores_gemma":[0.9929656,0.002150389,0.0002388182,0.000220402,0.00002911897,0.0000144154,0.00004301047,0.000003649425,0.004334599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08048961,"threshold_uncertainty_score":0.1600422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01998473416633959,"score_gpt":0.222801600163106,"score_spread":0.2028168659967664,"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."}}