{"id":"W6987333448","doi":"","title":"Social Impact Assessment :analyse d'un outil d'aide à la décision pour la lutte contre la pauvreté et les inégalités sociales de santé: Etude des conditions nécessaires à la fonction d'apprentissage conceptuel de l'outil dans le contexte bruxellois","year":2018,"lang":"fr","type":"other","venue":"Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Social impact; Marginal revenue","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":[0.02327369,0.0007611376,0.001035712,0.003140965,0.0035862,0.01218399,0.001467136,0.001755132,0.01369375],"category_scores_gemma":[0.0345556,0.000373917,0.001214002,0.003118899,0.009174147,0.005628255,0.006089747,0.003430817,0.001206637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01658081,"about_ca_system_score_gemma":0.01776999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02048612,"about_ca_topic_score_gemma":0.03157955,"domain_scores_codex":[0.9711629,0.01920156,0.0009206384,0.001152109,0.006476944,0.001085861],"domain_scores_gemma":[0.9542725,0.03337552,0.002686827,0.001104056,0.007038276,0.001522764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007376308,0.0005118061,0.04610533,0.008312886,0.0003859747,0.0006695666,0.1298207,0.005706597,0.003447462,0.3197607,0.0204642,0.4640772],"study_design_scores_gemma":[0.0001705625,0.001354337,0.1108168,0.01205233,0.0006399305,0.0006405448,0.1975646,0.006092948,0.007326069,0.1400173,0.52292,0.000404529],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4469882,0.02940835,0.06849664,0.06920043,0.001713514,0.002215786,0.001507404,0.000255859,0.3802138],"genre_scores_gemma":[0.9390754,0.01359344,0.01767846,0.002150872,0.0002060952,0.001005456,0.0002631166,0.00009890198,0.02592842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02327369,"threshold_uncertainty_score":0.1230845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02039676519043425,"score_gpt":0.2826495473158359,"score_spread":0.2622527821254017,"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."}}