{"id":"W6913179664","doi":"10.5683/sp3/qupm1c","title":"Enquête canadienne sur le revenu, 2016 [Canada]","year":2023,"lang":"fr","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Population; Earned income tax credit; Context (archaeology); Public investment","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001570065,0.0003943942,0.0003979095,0.001904683,0.009485028,0.00437488,0.0015997,0.001157767,0.05207461],"category_scores_gemma":[0.004523145,0.0004382714,0.0005935557,0.005529849,0.001167203,0.00111167,0.002516237,0.002321346,0.005046817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06233076,"about_ca_system_score_gemma":0.1837623,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952063,"about_ca_topic_score_gemma":0.9983714,"domain_scores_codex":[0.9980159,0.0001265567,0.00009118827,0.0001944151,0.0009030286,0.0006690393],"domain_scores_gemma":[0.9950805,0.0001322629,0.0001468168,0.0000791479,0.003100792,0.001460413],"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":[0.0001197289,0.00006474414,0.03833455,0.0007252899,0.00004505066,0.0006762199,0.01084095,0.0002619034,0.0005006359,0.009811618,0.8445116,0.09410772],"study_design_scores_gemma":[0.00001391476,0.00001929959,0.109027,0.000447273,0.00001579916,0.0000850539,0.0115605,0.00006748489,0.0001421802,0.0003242063,0.8782565,0.00004083866],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.07957764,0.02301467,0.002064511,0.07743163,0.005523507,0.001141298,0.1594012,0.0006708499,0.6511748],"genre_scores_gemma":[0.1629247,0.01959759,0.003605145,0.01514564,0.0005028863,0.0005042201,0.04504198,0.0003031647,0.7523746],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.06233076,"threshold_uncertainty_score":0.4522434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0193935686946849,"score_gpt":0.2242249705093342,"score_spread":0.2048314018146493,"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."}}