{"id":"W6932086906","doi":"10.5683/sp3/jcoxpx","title":"Indicateurs de performance financière des entreprises canadiennes, 2000-2002","year":2025,"lang":"fr","type":"dataset","venue":"Borealis","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistical analysis; Work force","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":[0.001184435,0.0004421719,0.0003125693,0.006219111,0.0003816927,0.001902782,0.0005372324,0.0004403575,0.004617867],"category_scores_gemma":[0.004969636,0.0001875113,0.0003397632,0.009526593,0.0001997404,0.0007568399,0.000630974,0.000461486,0.001291557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003301537,"about_ca_system_score_gemma":0.002389115,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3064054,"about_ca_topic_score_gemma":0.3223258,"domain_scores_codex":[0.9989944,0.0000869984,0.00009330691,0.0001892575,0.0004872973,0.0001486213],"domain_scores_gemma":[0.9910333,0.001128451,0.002964691,0.0002805859,0.003866722,0.0007262403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003832388,0.00005773043,0.9365806,0.0001746737,0.0002327693,0.0001278983,0.0007730209,0.001726027,0.0005046388,0.001794994,0.03035265,0.02729163],"study_design_scores_gemma":[0.000007781525,0.000025178,0.9850745,0.0000285453,0.00002810864,0.00004907491,0.0003766043,0.0005546201,0.0002429988,0.00004640076,0.01355532,0.00001080349],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.8351599,0.003301225,0.0004961911,0.0008141275,0.00006414668,0.00005220373,0.1243165,0.0003062107,0.03548952],"genre_scores_gemma":[0.8423908,0.001941325,0.000686556,0.0001315021,0.00008077161,0.00008011538,0.1221807,0.00004197135,0.03246629],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.6935946,"threshold_uncertainty_score":0.6092439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04708391483540487,"score_gpt":0.3194062403264786,"score_spread":0.2723223254910737,"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."}}