{"id":"W6985258552","doi":"","title":"Poussière d'âme","year":2018,"lang":"fr","type":"article","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Policy Transfer and Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Product (mathematics); Term (time)","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":[0.003410958,0.001222948,0.001075133,0.004062001,0.005898664,0.01187525,0.001391628,0.002708695,0.1293128],"category_scores_gemma":[0.01250023,0.0004409783,0.001049713,0.003248854,0.003062524,0.004194085,0.003075083,0.005124444,0.03479713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01014725,"about_ca_system_score_gemma":0.008784181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1117278,"about_ca_topic_score_gemma":0.105938,"domain_scores_codex":[0.9956573,0.001097779,0.0001451768,0.0005841152,0.001948681,0.0005669068],"domain_scores_gemma":[0.9950348,0.001050008,0.0003024083,0.0005436895,0.002396001,0.0006732353],"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":[0.0002443526,0.00005774995,0.001090228,0.0004199994,0.00004141673,0.0004647082,0.002908648,0.0002356589,0.001138619,0.2271711,0.6506814,0.1155463],"study_design_scores_gemma":[0.000006491256,0.000006031377,0.0007381329,0.00008743237,0.000002831782,0.00008332812,0.0002111408,0.00002464763,0.0001209634,0.001015065,0.9976973,0.000006694539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009493629,0.06588756,0.00686322,0.08531385,0.06783325,0.0001818946,0.003567277,0.002236489,0.7586228],"genre_scores_gemma":[0.06031154,0.02273572,0.00348711,0.01024452,0.02107209,0.0002905436,0.001485026,0.001139388,0.8792341],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1293128,"threshold_uncertainty_score":0.4325945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01028111151214803,"score_gpt":0.2068616209990687,"score_spread":0.1965805094869206,"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."}}