{"id":"W3101069553","doi":"10.1016/j.jtcvs.2020.10.052","title":"Reply: In machine learning, the devil is in the details","year":2020,"lang":"en","type":"letter","venue":"Journal of Thoracic and Cardiovascular Surgery","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Medicine; MEDLINE; Law","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":[0.005172946,0.0008921076,0.002156757,0.001133304,0.005009669,0.005664749,0.00205936,0.06438428,0.01011105],"category_scores_gemma":[0.0402597,0.0008917166,0.00137393,0.0008246951,0.003503001,0.004793436,0.002422487,0.05526841,0.010031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004001808,"about_ca_system_score_gemma":0.006909545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009695209,"about_ca_topic_score_gemma":0.01489861,"domain_scores_codex":[0.9956934,0.001314712,0.0006474655,0.0005403084,0.001109706,0.000694482],"domain_scores_gemma":[0.9853335,0.007729251,0.0009824944,0.0003784741,0.003056493,0.002519886],"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":[0.00003265582,0.00001126752,0.0004816656,0.00003194697,0.00001162775,0.0004412381,0.00007708634,0.00002613353,0.00005619383,0.001028073,0.9953858,0.002416309],"study_design_scores_gemma":[0.000106525,0.00005730097,0.001311191,0.0003229523,0.00003661398,0.001031942,0.0007904947,0.0004187188,0.0001601454,0.007807239,0.9878501,0.0001068491],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0000957874,0.0004253472,0.00004533895,0.9852014,0.01337865,0.000006363846,0.0000604963,0.0000130929,0.0007735718],"genre_scores_gemma":[0.0008234284,0.0002888149,0.00008935708,0.9829919,0.01291948,0.00001936223,0.0000254795,0.0000106518,0.002831482],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06438428,"threshold_uncertainty_score":0.03382486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02633168701663992,"score_gpt":0.2819226836884022,"score_spread":0.2555909966717623,"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."}}