{"id":"W4366283192","doi":"10.11113/mjfas.v19n2.2848","title":"Transition Intensities for Critical Illness: A Study on Canadian Health Data","year":2023,"lang":"en","type":"article","venue":"Malaysian Journal of Fundamental and Applied Sciences","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gompertz function; Transition (genetics); Critical illness; Mathematics; Health care; Econometrics; Statistics; Statistical physics; Medicine; Critically ill; Intensive care medicine; Physics; Economics; Chemistry","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":[0.006575319,0.0003715248,0.0006661285,0.00261687,0.001849699,0.001340085,0.002035504,0.0007672898,0.002299931],"category_scores_gemma":[0.03813438,0.0002824412,0.001148963,0.006904764,0.001028483,0.001057596,0.0008422727,0.001617183,0.0001500709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02128394,"about_ca_system_score_gemma":0.01517934,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9810593,"about_ca_topic_score_gemma":0.9633147,"domain_scores_codex":[0.9964258,0.0008412831,0.0001710729,0.0007057704,0.001189811,0.0006661877],"domain_scores_gemma":[0.9805906,0.01068734,0.001525742,0.001865028,0.004522171,0.0008091769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005693986,0.0002976553,0.8681684,0.0004875147,0.0004732219,0.0007302477,0.00276117,0.05439907,0.0004479168,0.01780226,0.0125096,0.04135344],"study_design_scores_gemma":[0.000066359,0.00007755165,0.8330051,0.0001200707,0.0002064201,0.0003390937,0.00272499,0.1498102,0.0004148415,0.002829256,0.01026992,0.0001361541],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765868,0.001082875,0.004926212,0.001283614,0.00002530319,0.0001832302,0.01117565,0.0001317116,0.004604599],"genre_scores_gemma":[0.9875733,0.000420111,0.002644529,0.0001001654,0.000007623949,0.0000474133,0.008416038,0.00002375203,0.0007669594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02128394,"threshold_uncertainty_score":0.1544265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1060293632122131,"score_gpt":0.3915011784678439,"score_spread":0.2854718152556308,"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."}}