{"id":"W6950241977","doi":"10.5683/sp3/j5ebgi","title":"Enquête sur la population active, mars 2003 [Canada] [Remanié Recensement 2011]","year":2023,"lang":"fr","type":"dataset","venue":"Borealis","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Population; Research methodology; Sugar industry; Irrigation district","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007078324,0.0006449084,0.0005920366,0.0002623636,0.0004479644,0.0003513853,0.001863726,0.0004417752,0.000175721],"category_scores_gemma":[0.0008039257,0.0007284568,0.0001219846,0.0009559162,0.0000953172,0.0003652828,0.0007379426,0.001006167,0.001224292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008097141,"about_ca_system_score_gemma":0.001229099,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.997022,"about_ca_topic_score_gemma":0.9786379,"domain_scores_codex":[0.9952382,0.000689886,0.00078901,0.001325418,0.00115695,0.0008005719],"domain_scores_gemma":[0.9954017,0.0006728545,0.0007234115,0.002288683,0.0005443231,0.0003689896],"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":[0.00001411754,0.0001115617,0.0004895586,0.0001182356,0.00009856613,0.00008337598,0.00006026328,0.001039253,0.000005051493,0.003560611,0.9623061,0.03211331],"study_design_scores_gemma":[0.00026619,0.0000377373,0.1734284,0.0001355923,0.00007487916,0.00002218173,0.000008009426,0.01937015,0.000007626015,0.0001935803,0.8058943,0.0005613803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001592813,0.0001605631,0.00192379,0.007743993,0.001256483,0.001120029,0.9862443,0.0002616894,0.001129871],"genre_scores_gemma":[0.0001883486,0.000553349,0.003856142,0.0006485377,0.0004075245,0.0003274314,0.9905982,0.00009176052,0.00332869],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1729388,"threshold_uncertainty_score":0.9995534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02069634778085708,"score_gpt":0.2755838366901019,"score_spread":0.2548874889092448,"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."}}