{"id":"W4411360509","doi":"10.32628/ijsrst2302551","title":"Machine Learning Efforts That Enhance Personalized Patient Care and Chronic Disease Management","year":2022,"lang":"en","type":"article","venue":"International Journal of Scientific Research in Science and Technology","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"SAIT Polytechnic","funders":"","keywords":"Computer science; Medicine; Disease management; Intensive care medicine; Disease; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005423106,0.0000903258,0.0001314246,0.00363992,0.001075134,0.0005345111,0.002395416,0.00002491451,0.00002589404],"category_scores_gemma":[0.0004077143,0.00008110573,0.00002540525,0.002717372,0.00171305,0.000613676,0.003085127,0.001044614,0.000001846251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007957146,"about_ca_system_score_gemma":0.0007131891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002508963,"about_ca_topic_score_gemma":0.00001217837,"domain_scores_codex":[0.9951613,0.0002230869,0.0003078867,0.0005663291,0.003287475,0.000453936],"domain_scores_gemma":[0.9980542,0.0001147176,0.0001998971,0.0002867997,0.001160933,0.000183422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005523094,0.00008623888,0.05510259,0.00006688129,0.00001491752,0.001161197,0.002740692,0.0006704365,0.001329539,0.06609513,0.00008694338,0.8725902],"study_design_scores_gemma":[0.004564071,0.006131832,0.02915507,0.001207018,0.00001758569,0.003768435,0.02013598,0.2900652,0.006795378,0.09057616,0.5464368,0.00114642],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755362,0.008036925,0.0007567789,0.01355867,0.001354366,0.0002782425,0.000005040318,0.00003363192,0.0004402044],"genre_scores_gemma":[0.9974563,0.0003541017,0.001951735,0.00004048516,0.00002123617,0.00002943656,0.000001386065,0.000004462774,0.00014087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8714438,"threshold_uncertainty_score":0.8269167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03285508239697509,"score_gpt":0.3814730328483125,"score_spread":0.3486179504513374,"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."}}