{"id":"W2889602335","doi":"10.3386/w15121","title":"Cumulative Effects of Job Characteristics on Health","year":2009,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Institute on Aging; National Institutes of Health","keywords":"Computer science","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":[0.001980755,0.0003335575,0.0005461937,0.00133404,0.0006236795,0.001026326,0.0006101016,0.000886273,0.006507413],"category_scores_gemma":[0.007443855,0.0003382341,0.001025602,0.001497184,0.0004418755,0.0006302143,0.001784173,0.001100335,0.0009312034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000476903,"about_ca_system_score_gemma":0.0006029587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01152208,"about_ca_topic_score_gemma":0.01520288,"domain_scores_codex":[0.9983789,0.0003681376,0.0001131443,0.0003848019,0.0002907944,0.0004642009],"domain_scores_gemma":[0.9884802,0.004417741,0.003330058,0.001450458,0.0005336176,0.001787954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000147752,0.0001363424,0.9905509,0.00002218356,0.0002253181,0.00006321858,0.0001357998,0.001056856,0.0002373331,0.0003091543,0.0002745802,0.006840606],"study_design_scores_gemma":[0.000003371355,0.0001278046,0.9984022,0.000008728209,0.00004871501,0.00002744734,0.0001245402,0.0005732479,0.00006322018,0.0003167802,0.0002977933,0.00000620041],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918212,0.0009422798,0.001506165,0.000391569,0.00004681958,0.00003087222,0.003452017,0.00003081125,0.001778397],"genre_scores_gemma":[0.9957731,0.0003179024,0.0003211802,0.00005592843,0.00004815546,0.00002623821,0.00168309,0.000005633153,0.001768735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01152208,"threshold_uncertainty_score":0.02291006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4352849828990807,"score_gpt":0.6263634627429131,"score_spread":0.1910784798438324,"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."}}