{"id":"W6907693233","doi":"10.25318/2310023801-eng","title":"https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=2310023801","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Government (linguistics); Service (business); Product (mathematics)","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":[0.0007871692,0.001390697,0.001255042,0.003766471,0.001060934,0.003564709,0.003155657,0.001404341,0.22251],"category_scores_gemma":[0.007648512,0.001055701,0.001141947,0.01490561,0.0004304613,0.001555682,0.001806058,0.001841702,0.202444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005665896,"about_ca_system_score_gemma":0.01296182,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7824568,"about_ca_topic_score_gemma":0.8272954,"domain_scores_codex":[0.9990686,0.00008409053,0.0000880009,0.0001626867,0.0002874326,0.0003092622],"domain_scores_gemma":[0.9940687,0.0007193211,0.0004150044,0.000709913,0.003484627,0.0006023793],"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":[0.00001007441,0.000003483626,0.0002972234,0.0001159,0.000005665793,0.000002379681,0.000005616321,0.00004459093,0.00000604159,0.0001898234,0.9987111,0.000608091],"study_design_scores_gemma":[0.0001304981,0.000004349578,0.005691875,0.0003314976,0.00001906891,0.00001223236,0.00007781567,0.0002186911,0.0001438562,0.0005655709,0.992777,0.00002763923],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001614764,0.00001190185,0.00001490537,0.00003489124,0.000007225074,0.000003584973,0.9990702,0.0001014301,0.0007396906],"genre_scores_gemma":[0.0003593563,0.00005572344,0.0001436561,0.00005580135,0.000006130113,0.00004877018,0.997108,0.0001407921,0.002081732],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7824568,"threshold_uncertainty_score":0.74437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01255629548294154,"score_gpt":0.3045142978443637,"score_spread":0.2919580023614222,"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."}}