{"id":"W4214931365","doi":"10.1089/ipm.09.01.03","title":"AI offers window on heart health","year":2022,"lang":"en","type":"article","venue":"Inside Precision Medicine","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Window (computing); Spare part; Download; Spare time; Reading (process); Volume (thermodynamics); Quarter (Canadian coin); Library science; Computer science; Art; World Wide Web; Political science; Humanities; Engineering; History; Law; Mechanical engineering; Physics","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":[0.00485381,0.0002685963,0.001005585,0.0006041265,0.0006038251,0.00001070769,0.0001828216,0.00009798625,0.002984984],"category_scores_gemma":[0.001005754,0.0002026762,0.0001152949,0.0008276018,0.00009055546,0.00007097951,0.0001218057,0.0013363,0.000137883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008238963,"about_ca_system_score_gemma":0.002419613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005199882,"about_ca_topic_score_gemma":0.00008236577,"domain_scores_codex":[0.9946937,0.0009163955,0.001145479,0.0006249555,0.00190134,0.0007181572],"domain_scores_gemma":[0.9969284,0.0005174215,0.000237304,0.0008875181,0.0001998355,0.00122952],"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":[0.0008262138,0.0003630947,0.008373007,0.0004566061,0.00003268224,0.0001590419,0.003142585,0.00005489909,0.0004986644,0.002235851,0.7914805,0.1923768],"study_design_scores_gemma":[0.003424423,0.008371376,0.04666223,0.0006211411,0.00001129238,0.0007437844,0.001290511,0.0001457977,0.00003669094,0.0005504073,0.937974,0.0001683892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1933595,0.001801441,0.0003215982,0.7876049,0.00298122,0.002191277,0.00003813192,0.0002779686,0.01142395],"genre_scores_gemma":[0.7655603,0.0001063377,0.0002126225,0.2313987,0.0009470001,0.00009839227,0.00007690056,0.00004711133,0.001552557],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.5722008,"threshold_uncertainty_score":0.9979264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06069529716807268,"score_gpt":0.4014199853320665,"score_spread":0.3407246881639938,"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."}}