{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002419698,0.0004411748,0.001893847,0.0004913401,0.0002298622,0.00002010638,0.000472605,0.0008443537,0.0001875615],"category_scores_gemma":[0.0006036629,0.0003259904,0.005479285,0.001011127,0.0001782931,0.00005189608,0.0003570593,0.001753481,0.00006756924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004503956,"about_ca_system_score_gemma":0.0003655328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001035455,"about_ca_topic_score_gemma":0.00000211258,"domain_scores_codex":[0.9909261,0.005380408,0.0006640688,0.001061133,0.001502346,0.000465961],"domain_scores_gemma":[0.9945951,0.0001660433,0.0002392283,0.004505153,0.0003463826,0.0001480659],"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":[0.003492485,0.0001075965,0.001896418,0.001103171,0.01406326,0.02038498,0.001791146,0.004996847,0.003658081,0.00002854737,0.940387,0.008090454],"study_design_scores_gemma":[0.001458616,0.000380255,0.01705502,0.00009526752,0.0029643,0.008015242,0.0007693807,0.00001712154,0.0007519369,0.000001736219,0.9681594,0.0003317564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.6303483,0.0140373,0.006720706,0.3041292,0.0276511,0.01072534,0.0009444808,0.001005364,0.004438115],"genre_scores_gemma":[0.4209712,0.0008567755,0.0007444462,0.5490436,0.0111665,0.001875504,0.002735586,0.000929243,0.01167714],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2449144,"threshold_uncertainty_score":0.9999192,"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."}}