{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003529534,0.0002637876,0.0002482725,0.0001545285,0.01532636,0.00006991523,0.0004613709,0.0003458588,0.0006785582],"category_scores_gemma":[0.00006153354,0.0003162394,0.0002508445,0.0005907366,0.00235326,0.0005876514,0.0001290613,0.0003738637,0.0009469076],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003904353,"about_ca_system_score_gemma":0.001812558,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.198614,"about_ca_topic_score_gemma":0.02243911,"domain_scores_codex":[0.9975853,0.0003575666,0.0002458908,0.0004513144,0.0006071511,0.0007527521],"domain_scores_gemma":[0.9987839,0.0001062578,0.0001039925,0.0002729851,0.0001998279,0.0005330617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00032409,0.0003046607,0.02364931,0.00006665097,0.0003878188,0.001644801,0.3029481,0.0002856462,0.003709763,0.6140471,0.01016473,0.04246729],"study_design_scores_gemma":[0.0006154753,0.0001516026,0.02089234,0.0001222324,0.000186363,0.0003265976,0.0246506,0.0004460097,0.00128323,0.001074896,0.9498493,0.0004013237],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3189535,0.03079379,0.0006474188,0.01147984,0.003261701,0.0002032714,0.00004136838,0.0001898404,0.6344292],"genre_scores_gemma":[0.7498742,0.0006051462,0.0003001722,0.0004973457,0.001596146,0.00000324048,0.000006782921,0.0000160872,0.2471009],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9396846,"threshold_uncertainty_score":0.999929,"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."}}