{"id":"W6888890651","doi":"10.25318/2710036201-fra","title":"https://www150.statcan.gc.ca/t1/tbl1/fr/tv.action?pid=2710036201&request_locale=fr","year":2023,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Product (mathematics); Identification (biology); Work (physics); Emerging technologies; Process (computing)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009603996,0.001790355,0.001529543,0.003872651,0.001302087,0.003754921,0.00358845,0.002109223,0.1642425],"category_scores_gemma":[0.007464995,0.001074608,0.001253381,0.0117552,0.0005609837,0.001879078,0.002024749,0.002497844,0.2009357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006721773,"about_ca_system_score_gemma":0.01136206,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6540189,"about_ca_topic_score_gemma":0.7490394,"domain_scores_codex":[0.9988824,0.0001144685,0.00008379477,0.0002131083,0.0003642601,0.0003420126],"domain_scores_gemma":[0.9947864,0.0007614877,0.000370268,0.0008424367,0.002619667,0.0006197547],"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":[0.00001173631,0.000004290262,0.0002282637,0.0001102997,0.000005231549,0.000002950148,0.000006924149,0.00004833436,0.00001002032,0.0002169181,0.9988531,0.0005019461],"study_design_scores_gemma":[0.0001154765,0.000003493506,0.003435996,0.0002589532,0.00001214848,0.00001099625,0.00007212965,0.0002348991,0.0001695073,0.0006484061,0.9950144,0.00002359812],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001812129,0.00001492024,0.00001799697,0.00004769131,0.00001005256,0.000004083206,0.9990596,0.0001260667,0.0007014489],"genre_scores_gemma":[0.0002335598,0.0000431893,0.0001469876,0.00004973756,0.000005749941,0.00004196475,0.9978047,0.0001051121,0.001568874],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8357575,"threshold_uncertainty_score":0.6960373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01533888987102709,"score_gpt":0.3040426916910313,"score_spread":0.2887038018200042,"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."}}