{"id":"W4294676858","doi":"10.1016/j.carpath.2022.107473","title":"Response to Miller: an accurate representation of the MMDx system","year":2022,"lang":"en","type":"letter","venue":"Cardiovascular Pathology","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Metabolomics Innovation Centre; University of Alberta","funders":"Genome Canada","keywords":"Miller; Representation (politics); Computer science; Political science; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004782166,0.0009395906,0.001755464,0.000794574,0.006303821,0.005570802,0.00259391,0.08450817,0.007502006],"category_scores_gemma":[0.03748439,0.001129694,0.001260545,0.0006326848,0.004827371,0.004500482,0.003166625,0.0809258,0.005744802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005955745,"about_ca_system_score_gemma":0.005460652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009316827,"about_ca_topic_score_gemma":0.01426418,"domain_scores_codex":[0.9946221,0.001668568,0.0006722472,0.0007796538,0.001199378,0.001058016],"domain_scores_gemma":[0.9882637,0.005517861,0.0007547551,0.0004596264,0.002376474,0.002627496],"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":[0.0000554483,0.00002246244,0.0004651911,0.0000309337,0.00001306895,0.00158048,0.0002320598,0.00005876682,0.0001339271,0.003303922,0.9899484,0.004155467],"study_design_scores_gemma":[0.0001239568,0.0000790644,0.00168605,0.0004343536,0.00003699816,0.002846703,0.00124054,0.0008529625,0.0002995367,0.01220682,0.9800543,0.0001388494],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001911505,0.0003784115,0.00008075091,0.986546,0.01170083,0.000007459145,0.00001719744,0.0000125442,0.001065575],"genre_scores_gemma":[0.002173065,0.0003132746,0.0001468882,0.9690498,0.02464506,0.0000247999,0.000008895548,0.00001460175,0.003623601],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08450817,"threshold_uncertainty_score":0.04321212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0266716920056298,"score_gpt":0.2680899804007918,"score_spread":0.241418288395162,"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."}}