{"id":"W3144747894","doi":"10.1164/rccm.202007-2791oc","title":"Machine Learning for Early Lung Cancer Identification Using Routine Clinical and Laboratory Data","year":2021,"lang":"en","type":"article","venue":"American Journal of Respiratory and Critical Care Medicine","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":176,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Medicine; Lung cancer; Identification (biology); Medical physics; Intensive care medicine; Artificial intelligence; Machine learning; Oncology","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":[0.007071013,0.00107669,0.0009851091,0.002166514,0.0003383242,0.001199826,0.0008191749,0.0008501047,0.001013224],"category_scores_gemma":[0.02452105,0.0003405272,0.0008953515,0.001039927,0.0004121541,0.0008805286,0.0006609837,0.001253908,0.0004121216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009264352,"about_ca_system_score_gemma":0.001304484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004895418,"about_ca_topic_score_gemma":0.003697096,"domain_scores_codex":[0.9967501,0.002086623,0.0002119126,0.0005363217,0.0002952464,0.0001198178],"domain_scores_gemma":[0.9844069,0.01194603,0.001561547,0.0009650458,0.0008756552,0.0002447541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001024873,0.0007418519,0.5526823,0.0002592328,0.001327331,0.0003002156,0.0000893435,0.3158067,0.001857194,0.001281226,0.004061258,0.1205685],"study_design_scores_gemma":[0.00003438425,0.0002008804,0.02608213,0.00005009363,0.00006616567,0.0001204574,0.00002412928,0.9687781,0.0007381941,0.003359299,0.0005221445,0.00002405695],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7399802,0.003147054,0.2473419,0.002899339,0.0001954385,0.0003580513,0.002899418,0.0008816865,0.002296921],"genre_scores_gemma":[0.9720274,0.0001944441,0.02625777,0.0001656413,0.00006957466,0.00008855659,0.0009002986,0.0000159206,0.00028051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007071013,"threshold_uncertainty_score":0.03739554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0648158238050489,"score_gpt":0.4423355480819023,"score_spread":0.3775197242768534,"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."}}