{"id":"W4410385907","doi":"10.1111/coin.70060","title":"Determining Treatment Dosage for Hypothyroidism Using Machine Learning","year":2025,"lang":"en","type":"article","venue":"Computational Intelligence","topic":"Biomarkers in Disease Mechanisms","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Sheridan College","funders":"","keywords":"Computer science; Artificial intelligence; Speech recognition; Medicine; Machine learning","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":[],"consensus_categories":[],"category_scores_codex":[0.001364736,0.0004747556,0.0005294487,0.0006851135,0.0001582745,0.0006959129,0.0004912115,0.0004205015,0.0009527249],"category_scores_gemma":[0.005466526,0.0001186983,0.0005450348,0.0004799498,0.0001635364,0.000263944,0.0002255354,0.0005625313,0.0003065723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007292722,"about_ca_system_score_gemma":0.0007247805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004180207,"about_ca_topic_score_gemma":0.003527908,"domain_scores_codex":[0.9993051,0.0003297532,0.00006199697,0.0001400683,0.0001269915,0.00003616075],"domain_scores_gemma":[0.9972596,0.001756581,0.0004347131,0.0001379168,0.0003456982,0.00006535374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001491582,0.0005573776,0.2335809,0.000365144,0.0003714064,0.0004259357,0.00006386376,0.5132474,0.005707784,0.001217156,0.008027295,0.2349441],"study_design_scores_gemma":[0.00004683264,0.0002643813,0.01591363,0.00004645006,0.00005943598,0.0001361123,0.00003022289,0.9742497,0.005548952,0.002056003,0.001626333,0.00002203269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8533202,0.004187909,0.1299383,0.002357996,0.0002030962,0.0001386821,0.005014846,0.001072444,0.003766388],"genre_scores_gemma":[0.9809468,0.0002792973,0.01659804,0.0001390975,0.00005025575,0.00002550581,0.00151653,0.00001734945,0.0004271547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004180207,"threshold_uncertainty_score":0.008311749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04724159185069027,"score_gpt":0.3249150076431291,"score_spread":0.2776734157924389,"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."}}