{"id":"W6912817690","doi":"10.5683/sp3/6drc5x","title":"Labour Force Survey PUMFs","year":2017,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Work (physics); Data collection; Focus (optics); Current Population Survey","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001595417,0.001403188,0.001276262,0.005988624,0.0006736475,0.001652658,0.002240636,0.0009922633,0.04628148],"category_scores_gemma":[0.009637447,0.0006136687,0.000921827,0.009979839,0.0002925664,0.0009529119,0.001782878,0.001484454,0.06969028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001420854,"about_ca_system_score_gemma":0.00305172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07762402,"about_ca_topic_score_gemma":0.1190267,"domain_scores_codex":[0.9985573,0.0002642641,0.0001946206,0.0003003436,0.0004106088,0.0002728957],"domain_scores_gemma":[0.9970039,0.000492016,0.0004165043,0.000538142,0.00128694,0.0002626469],"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":[0.00003208532,0.00001879996,0.002363585,0.0002005327,0.00002297093,0.00001362572,0.00002723945,0.00008811393,0.00002655313,0.0003332684,0.9941378,0.00273537],"study_design_scores_gemma":[0.0001768974,0.00002908652,0.03040743,0.0003475096,0.000039603,0.0001026239,0.0002350464,0.0003482128,0.0001483985,0.0007831975,0.9673519,0.00003015056],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003808537,0.00006977648,0.00007648865,0.00007010411,0.00002426629,0.00001957289,0.9984788,0.0001208793,0.0007591824],"genre_scores_gemma":[0.0006077713,0.0000487965,0.0001473799,0.00003208315,0.00001298003,0.0001168019,0.9978507,0.00003107542,0.001152426],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07762402,"threshold_uncertainty_score":0.154827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04587436290900963,"score_gpt":0.3282243336551084,"score_spread":0.2823499707460988,"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."}}