{"id":"W6904782651","doi":"10.1371/journal.pone.0311599.s001","title":"Algorithms.","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Health Promotion and Cardiovascular Prevention","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical costs; Cohort; Indirect costs; Health care; Public health; Total cost; Confidence interval; Medical care","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001197747,0.00003721613,0.00006558302,0.00003777956,0.00001849599,0.00001703435,0.00001696265,0.00004350248,0.3140142],"category_scores_gemma":[0.0001119952,0.00003149323,0.0001307689,0.0001068179,8.889313e-7,0.00003822052,0.00001158201,0.00009914048,0.01922674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000263148,"about_ca_system_score_gemma":0.00007667895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.664667e-7,"about_ca_topic_score_gemma":1.12729e-7,"domain_scores_codex":[0.9995852,0.00004031374,0.00006644009,0.0001043742,0.0001193906,0.00008426991],"domain_scores_gemma":[0.9997798,0.00000962061,0.000004466573,0.0001023974,0.00003102155,0.0000726696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[3.961672e-7,0.00001209914,0.000001517591,0.0009086258,0.00003350858,0.0001265853,0.00002765094,2.179985e-7,0.00001908823,0.00001520724,0.5557742,0.4430809],"study_design_scores_gemma":[0.0001174835,0.00002751126,0.004012247,0.00236326,0.00001467508,0.000145647,0.000004669068,0.0006588234,0.0002155128,0.00002417927,0.9923806,0.00003543453],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002084082,0.06703889,0.005411609,0.0153921,0.00312455,0.005173115,0.2910571,0.007068661,0.60365],"genre_scores_gemma":[0.5765768,0.00009360762,0.00113595,0.002929629,0.003053818,0.0007286979,0.3707446,0.0001075067,0.04462931],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.5744928,"threshold_uncertainty_score":0.9815369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05863903959268862,"score_gpt":0.3557067587711962,"score_spread":0.2970677191785075,"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."}}