{"id":"W4299413612","doi":"","title":"Lever des fonds pour l'humanitaire, des rues de Paris à celles de Montréal","year":2013,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lever; Political science; Engineering","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":[0.003529062,0.001945873,0.001003269,0.001908151,0.005130715,0.009995006,0.001110117,0.003452488,0.164569],"category_scores_gemma":[0.008653851,0.0006539928,0.0007534002,0.002086472,0.002768796,0.002692632,0.002091836,0.004694897,0.01772953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02448522,"about_ca_system_score_gemma":0.04186931,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6871753,"about_ca_topic_score_gemma":0.7223887,"domain_scores_codex":[0.9949614,0.0008240962,0.0001222922,0.0008045341,0.002298614,0.0009890225],"domain_scores_gemma":[0.9917419,0.002344171,0.0004146024,0.0005278558,0.002642478,0.00232904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001887328,0.00008432905,0.002245208,0.0002467218,0.00006497877,0.00062596,0.000992117,0.0009461949,0.001087683,0.157976,0.7393106,0.09623155],"study_design_scores_gemma":[0.00003285255,0.00002207586,0.009210775,0.0001321957,0.00001143834,0.0001195996,0.0004095409,0.000535709,0.0006262078,0.004126314,0.9847345,0.00003867899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02091304,0.06913928,0.009679328,0.308919,0.01250656,0.0002158167,0.01307604,0.001589719,0.5639612],"genre_scores_gemma":[0.04862534,0.007566558,0.00370746,0.001466426,0.0006353662,0.00005677162,0.0008354958,0.0002415095,0.9368652],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3128247,"threshold_uncertainty_score":0.629334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06424790921883226,"score_gpt":0.3432731392953058,"score_spread":0.2790252300764736,"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."}}