{"id":"W6908567023","doi":"10.25828/afb2-pn20","title":"Quarterly Labour Force Survey 2023, Quarter 1","year":2023,"lang":"en","type":"dataset","venue":"DataFirst","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Current Population Survey; Work (physics); Labour supply","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002800304,0.001256576,0.00131824,0.0008962634,0.0003374168,0.0006583497,0.003716878,0.0009447274,0.002135458],"category_scores_gemma":[0.0006488215,0.0012925,0.0002647481,0.002011091,0.0002254448,0.0006886905,0.0005374978,0.001523849,0.7776273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002799208,"about_ca_system_score_gemma":0.0003103619,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05776785,"about_ca_topic_score_gemma":0.2224958,"domain_scores_codex":[0.9929414,0.0008711416,0.001154974,0.001983189,0.001443293,0.001606006],"domain_scores_gemma":[0.9915547,0.0009369142,0.0007342401,0.00599293,0.0002905744,0.0004906532],"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":[0.0001090954,0.0001908343,0.00005402323,0.0003332178,0.0002720553,0.0002877728,0.00003645121,0.000001442457,0.00001293235,0.000007571274,0.9986526,0.00004199811],"study_design_scores_gemma":[0.0008439186,0.0003004889,0.008517482,0.0001757828,0.0001629214,0.00002408136,0.0001138708,0.00001118475,0.000001437844,0.00004983259,0.9883857,0.001413281],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009771192,0.000116118,0.000006589413,0.00007783843,0.002981207,0.0007890853,0.9952431,0.0006158699,0.00007251053],"genre_scores_gemma":[0.00001524833,0.00009192434,0.00002181623,0.0002054538,0.001134136,0.0001716543,0.9923103,0.0004541373,0.005595318],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7754918,"threshold_uncertainty_score":0.9989524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03345264273691324,"score_gpt":0.2937452296420395,"score_spread":0.2602925869051263,"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."}}