{"id":"W6889058524","doi":"10.25318/3610042201-fra","title":"Flux financiers, banques à charte et quasi-banques, trimestriel, 1961 - 2012","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Limiting; Flux (metallurgy); Order (exchange); Blood donor","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":[0.0007695694,0.001256402,0.001278627,0.01017037,0.001123829,0.003340618,0.001604864,0.0008451557,0.0446559],"category_scores_gemma":[0.009353671,0.00070894,0.0008495022,0.02440972,0.0004788826,0.001413784,0.0009895868,0.001490021,0.02553453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01124158,"about_ca_system_score_gemma":0.01710013,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9033363,"about_ca_topic_score_gemma":0.9065406,"domain_scores_codex":[0.998781,0.00007406181,0.0001469586,0.0002412112,0.0005070414,0.0002496611],"domain_scores_gemma":[0.995169,0.0006209969,0.0006287774,0.0003958161,0.002854836,0.0003305888],"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":[0.00006522059,0.00001667287,0.005236153,0.00049984,0.00003847729,0.00002415596,0.000091748,0.0003241746,0.00004364628,0.00132055,0.9880143,0.00432507],"study_design_scores_gemma":[0.0001229181,0.00001068477,0.0619874,0.0005740493,0.00003658274,0.00006187901,0.0004449461,0.0003538025,0.0002391492,0.0005310101,0.9355892,0.00004839],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000333813,0.0001276942,0.00002246977,0.00006326932,0.000009279508,0.000004755795,0.9983857,0.00006248678,0.0009906145],"genre_scores_gemma":[0.001817841,0.0003395215,0.0001671211,0.000032735,0.00001211736,0.00004577498,0.9938117,0.00004388569,0.003729247],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09666365,"threshold_uncertainty_score":0.1944658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01267544071390085,"score_gpt":0.283306873661993,"score_spread":0.2706314329480922,"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."}}