{"id":"W7095753680","doi":"","title":"Health database, the Ryerson International Labour, Occupational","year":2010,"lang":"en","type":"article","venue":"","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"MEDLINE; Productivity; Occupational safety and health; Economic evaluation; Economic impact analysis; Cost–benefit analysis","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":[0.002585081,0.001331233,0.006535899,0.01986531,0.0006053636,0.004092959,0.002603136,0.001692277,0.2155488],"category_scores_gemma":[0.02649158,0.00102385,0.001803762,0.03333632,0.0006241796,0.002970855,0.002509711,0.001908491,0.03868401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002826734,"about_ca_system_score_gemma":0.008289195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01316391,"about_ca_topic_score_gemma":0.0164238,"domain_scores_codex":[0.9947422,0.0009394533,0.002721922,0.000541785,0.0008570564,0.0001975087],"domain_scores_gemma":[0.985357,0.006599613,0.003176398,0.0008073312,0.003379577,0.0006800343],"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":[0.00264453,0.00009006717,0.002845358,0.1626683,0.001618313,0.0002017031,0.0003238995,0.0006630684,0.0004903888,0.006496891,0.7134161,0.1085413],"study_design_scores_gemma":[0.004482403,0.0003134481,0.02441993,0.04087252,0.00270765,0.0003490696,0.000307862,0.0007224252,0.0003965651,0.005302729,0.9199696,0.000155824],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008490713,0.0161689,0.0008483448,0.0008923791,0.000115712,0.001614728,0.9568753,0.0009003492,0.02173529],"genre_scores_gemma":[0.01730104,0.06915028,0.01049784,0.003098354,0.0004912,0.01900711,0.836803,0.001118023,0.04253307],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2155488,"threshold_uncertainty_score":0.7210824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3597053690303166,"score_gpt":0.474968643492926,"score_spread":0.1152632744626094,"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."}}