{"id":"W7098226739","doi":"","title":"Disability Insurance Bene�ts and Labor Supply","year":2014,"lang":"en","type":"article","venue":"","topic":"Slime Mold and Myxomycetes Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disability insurance; Generosity; Payment; Disability benefits; Context (archaeology); Self-insurance; Social security; Social insurance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007828414,0.0001128276,0.0001949172,0.0008667569,0.0006181861,0.001172514,0.0002314188,0.0004040094,0.01130643],"category_scores_gemma":[0.00376907,0.0001171137,0.0001849178,0.0006286564,0.00051526,0.0004489603,0.0007314347,0.0005067289,0.0007643368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001813755,"about_ca_system_score_gemma":0.0009289215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03203356,"about_ca_topic_score_gemma":0.05994555,"domain_scores_codex":[0.9993219,0.0001334991,0.00002807352,0.000052747,0.0002030423,0.0002606855],"domain_scores_gemma":[0.9972735,0.00112593,0.0007659004,0.0001095856,0.0003119826,0.0004132221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003187741,0.0002433083,0.9294795,0.00006918999,0.0000669032,0.0003157664,0.001157423,0.008595927,0.00153889,0.01916384,0.003180323,0.03587021],"study_design_scores_gemma":[0.00001279697,0.00007780316,0.9768743,0.00003901718,0.00001013347,0.0001025058,0.002941148,0.002988355,0.0003296123,0.006525018,0.01008576,0.00001370769],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9622437,0.000672586,0.000611975,0.001672787,0.00001190373,0.0000243124,0.001004348,0.000009469473,0.03374877],"genre_scores_gemma":[0.9961473,0.0001260222,0.00007790021,0.00005979046,0.000009835876,0.000005816526,0.0002896896,0.000001912928,0.003281791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03203356,"threshold_uncertainty_score":0.06369424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005923843164087682,"score_gpt":0.2193667863099364,"score_spread":0.2134429431458488,"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."}}