{"id":"W6961077492","doi":"10.1371/journal.pone.0291997.s003","title":"Evaluating class solutions: model fit criteria.","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Latent class model; Tuberculosis; Population; Categorization; Primary care; Health care; Emergency department; Primary health 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":[],"category_scores_codex":[0.00004534556,0.00008087046,0.00005410579,0.00002357274,0.0001391198,0.00001831135,0.0001427236,0.00007987425,0.002861141],"category_scores_gemma":[0.0001806552,0.00008692801,0.0000454156,0.0001314026,0.0000054078,0.000003219588,0.00014774,0.00005993374,0.0004797708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001198336,"about_ca_system_score_gemma":0.00005381586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.19502e-7,"about_ca_topic_score_gemma":0.000001956376,"domain_scores_codex":[0.999365,0.00001078571,0.000097394,0.0002260858,0.00006257709,0.0002381318],"domain_scores_gemma":[0.9995907,0.000007262164,0.00003651908,0.0002587737,0.00007090194,0.00003582043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002367944,0.00000611399,4.62295e-7,0.00001006831,0.000002937156,1.885866e-7,0.000004097821,0.002069345,0.5264803,0.00003218196,0.4699394,0.001452544],"study_design_scores_gemma":[0.0001843451,0.0001286699,0.00004520809,0.0001331203,0.000006537425,0.000005707044,0.00001559163,0.1616551,0.3683595,0.001407465,0.4677622,0.000296605],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1178301,0.005307771,0.03570023,0.003883192,0.0002014605,0.004548856,0.8068878,0.003315352,0.02232527],"genre_scores_gemma":[0.4970076,0.0001679004,0.02550524,0.001509632,0.000525866,0.003567499,0.4607996,0.0001222559,0.01079445],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.3791775,"threshold_uncertainty_score":0.9980504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.143205632101148,"score_gpt":0.4564582360344479,"score_spread":0.3132526039332998,"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."}}