{"id":"W6920531367","doi":"10.6084/m9.figshare.19126298","title":"Additional file 1 of Who loses more? Identifying the relationship between hospitalization and income loss: prediction of hospitalization duration and differences of gender and employment status","year":2022,"lang":"en","type":"article","venue":"Open MIND","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Duration (music); MEDLINE; Household income; Data collection","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009894171,0.0006629422,0.0007970268,0.001563395,0.0008602591,0.000801716,0.001071233,0.000816661,0.6946021],"category_scores_gemma":[0.02340729,0.0003028036,0.0006132962,0.002950585,0.0001408077,0.001340781,0.0007281743,0.0008725002,0.05555123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007398518,"about_ca_system_score_gemma":0.001576414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02408626,"about_ca_topic_score_gemma":0.02791003,"domain_scores_codex":[0.9994764,0.0001095087,0.0001056531,0.0001134904,0.00009753945,0.00009739946],"domain_scores_gemma":[0.9892184,0.00671448,0.001451167,0.0004587289,0.001833806,0.0003234897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002645405,0.0001266694,0.009794873,0.001009822,0.00004735144,0.00005689467,0.00007330775,0.0002637694,0.00003632802,0.0006478342,0.9826339,0.005044729],"study_design_scores_gemma":[0.01032063,0.000910111,0.2953611,0.009289708,0.0005662811,0.001242453,0.002709794,0.005176962,0.001023581,0.01089204,0.6622346,0.0002727045],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0006423373,0.00001403886,0.00007721961,0.0001030511,0.00001333356,0.00008221137,0.9979429,0.00002872718,0.001096155],"genre_scores_gemma":[0.02500541,0.0002155244,0.00139325,0.0006391247,0.0001388807,0.003643127,0.9553828,0.0001476934,0.01343418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6946021,"threshold_uncertainty_score":0.435613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1214611003232541,"score_gpt":0.3824004127040583,"score_spread":0.2609393123808042,"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."}}