{"id":"W6921247973","doi":"10.60870/ssy0-7m07","title":"Honnêteté, responsabilité et confiance : Promouvoir l’intégrité en recherche au Canada","year":2024,"lang":"fr","type":"report","venue":"CCA_Repo","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Qualitative research; Field (mathematics); Data collection; Foreign policy","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01055581,0.0009418991,0.002129644,0.0004472621,0.0003452151,0.0004589225,0.001030417,0.001184658,0.008786843],"category_scores_gemma":[0.005817909,0.001135625,0.0006657195,0.0007960491,0.0006369345,0.0003163819,0.0008252324,0.00215764,0.01231268],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01320345,"about_ca_system_score_gemma":0.0134095,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5709245,"about_ca_topic_score_gemma":0.5485104,"domain_scores_codex":[0.9926898,0.0003243894,0.00252107,0.002782819,0.0002762672,0.001405629],"domain_scores_gemma":[0.9947509,0.001586601,0.001292801,0.001699545,0.0002915789,0.0003786322],"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":[0.00006233858,0.0002045257,0.008879755,0.002426139,0.001554906,0.0007990781,0.003672468,0.0002270764,0.00002094694,0.08776729,0.8804142,0.01397124],"study_design_scores_gemma":[0.0003395107,0.00006769152,0.001970659,0.000749269,0.0001239936,0.0001755152,0.001614347,0.0002857717,0.00008226545,0.004083615,0.9892935,0.001213819],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02330987,0.03248282,0.00004657994,0.007428295,0.04700676,0.000940962,0.005317069,0.0001090591,0.8833586],"genre_scores_gemma":[0.02602071,0.00897448,0.0007419597,0.0005069672,0.001175185,0.0002111923,0.0001563943,0.0001579424,0.9620551],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1088793,"threshold_uncertainty_score":0.9991094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1641057372350291,"score_gpt":0.2963047719585846,"score_spread":0.1321990347235555,"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."}}