{"id":"W2902550797","doi":"","title":"Hour constraints and training for older workers: a comparison between Australia and Canada","year":2016,"lang":"en","type":"article","venue":"Economic papers","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Geography; Meteorology","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":[],"consensus_categories":[],"category_scores_codex":[0.0009532915,0.0002874093,0.0006725925,0.002250275,0.003099632,0.002334473,0.001486285,0.001002142,0.003713764],"category_scores_gemma":[0.0047258,0.0003273058,0.001231755,0.005831899,0.0007237714,0.0006532074,0.001764619,0.001447181,0.0001478215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02705902,"about_ca_system_score_gemma":0.03834334,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9897023,"about_ca_topic_score_gemma":0.9954143,"domain_scores_codex":[0.998491,0.0001052829,0.00009738402,0.0000918927,0.0004693905,0.0007450688],"domain_scores_gemma":[0.9943855,0.0004090523,0.001001807,0.00005996667,0.001598026,0.002545735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006265417,0.0002737174,0.9663412,0.0002444557,0.0002390337,0.0002883239,0.003429721,0.0003930494,0.000127302,0.0006959673,0.002647373,0.0246933],"study_design_scores_gemma":[0.00001227514,0.00004584849,0.994766,0.00009443075,0.00004609325,0.00003176523,0.003588665,0.0001047426,0.00001337317,0.0000326447,0.001254187,0.00001008069],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882031,0.004270488,0.00004336475,0.001289458,0.00005960959,0.00004077558,0.001540846,0.000003259373,0.004549032],"genre_scores_gemma":[0.993509,0.002773587,0.00006192851,0.0003106162,0.00002344939,0.00001940537,0.0007824298,0.00000562971,0.002513908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02705902,"threshold_uncertainty_score":0.1963279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2518049922545934,"score_gpt":0.4065975700753647,"score_spread":0.1547925778207713,"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."}}