{"id":"W6945698849","doi":"10.25828/m9gd-bb53","title":"Quarterly Labour Force Survey 2013, Quarter 3","year":2020,"lang":"en","type":"dataset","venue":"DataFirst","topic":"Species Distribution and Climate Change","field":"Environmental Science","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":[0.0002679343,0.0003787396,0.0003628261,0.00003023736,0.0001650931,0.0001679903,0.001111196,0.0002605495,0.2553342],"category_scores_gemma":[0.00005623588,0.0003604041,0.00009466791,0.0003231015,0.0001694759,0.0002526861,0.0003532754,0.0003823901,0.1892769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003056962,"about_ca_system_score_gemma":0.0000140856,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01191056,"about_ca_topic_score_gemma":0.04756914,"domain_scores_codex":[0.9978228,0.0001255968,0.0003449309,0.0007120633,0.0005124846,0.0004821049],"domain_scores_gemma":[0.998396,0.00007247367,0.0001913546,0.001042687,0.00001303012,0.0002844125],"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":[0.00002048808,0.00007543562,0.0002686191,0.00003528492,0.00001507288,0.00002268423,0.00003009048,2.51576e-7,0.00001300922,0.000005683359,0.9994527,0.00006065684],"study_design_scores_gemma":[0.0002531109,0.0001362978,0.02570834,0.000009297951,0.0000235093,0.000005832763,0.0002113959,0.000002977515,0.000003083052,0.000007238087,0.9732239,0.0004150113],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002859434,0.00003025095,0.000009922222,0.0006343888,0.0005316893,0.0002302391,0.9975078,0.00005690982,0.0007128488],"genre_scores_gemma":[0.0002310946,0.0002453172,0.000005775482,0.001287295,0.0001363677,0.00002985233,0.9974532,0.00002099185,0.0005901144],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06605729,"threshold_uncertainty_score":0.9998848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03015123572414613,"score_gpt":0.2537384064978879,"score_spread":0.2235871707737417,"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."}}