{"id":"W6958612580","doi":"10.6084/m9.figshare.13565663","title":"Additional file 4 of Effect of socio-demographic and health factors on the association between multimorbidity and acute care service use: population-based survey linked to health administrative data","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; University of Alberta; University of Toronto; McMaster University","funders":"","keywords":"Odds; Association (psychology); Service (business); Multimorbidity; Health care; Health services; Acute care","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":[0.001314297,0.0008668586,0.001118405,0.002169337,0.0008360103,0.001032589,0.001614747,0.0008630365,0.7705051],"category_scores_gemma":[0.02025126,0.0005329966,0.001100574,0.004457679,0.000181356,0.001201914,0.0008572143,0.0008626094,0.08172832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00103317,"about_ca_system_score_gemma":0.001559028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0344996,"about_ca_topic_score_gemma":0.0382436,"domain_scores_codex":[0.9991962,0.0001602327,0.0001456358,0.0001879903,0.0001457998,0.0001641374],"domain_scores_gemma":[0.9862109,0.009426262,0.001265702,0.0007519769,0.001939438,0.0004057395],"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":[0.0002688172,0.00009260231,0.009565953,0.001063236,0.00009299861,0.00005060738,0.00005804147,0.0005148987,0.00005621244,0.0005987502,0.9839095,0.003728421],"study_design_scores_gemma":[0.0107824,0.0005227439,0.271794,0.005097345,0.0006123882,0.0007629271,0.001112959,0.00533749,0.0008803278,0.008819908,0.6940433,0.0002342045],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002773352,0.000006680683,0.00007325609,0.00003646453,0.000009593715,0.00003817669,0.9989164,0.00004781019,0.0005944347],"genre_scores_gemma":[0.01277579,0.00007007126,0.001277785,0.0002796371,0.00007302021,0.001080961,0.9763678,0.0002329833,0.007841942],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7705051,"threshold_uncertainty_score":0.3273466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1713975138015194,"score_gpt":0.3192194163865315,"score_spread":0.1478219025850121,"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."}}