{"id":"W4296502312","doi":"10.1177/17588359221126151","title":"Plasma-first: accelerating lung cancer diagnosis and molecular profiling through liquid biopsy","year":2022,"lang":"en","type":"article","venue":"Therapeutic Advances in Medical Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Medicine; Cohort; Lung cancer; Internal medicine; Biopsy; Referral; Liquid biopsy; Cancer; Oncology; Clinical endpoint; Cohort study; Pathology; Clinical trial","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003915029,0.0001885482,0.0002958196,0.00004589629,0.0002054276,0.00001164213,0.0003100869,0.0001743579,0.0003541777],"category_scores_gemma":[0.0001721122,0.0001906945,0.00005358694,0.0001654997,0.000220319,0.000009805034,0.0004616184,0.0003778823,7.197176e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001638347,"about_ca_system_score_gemma":0.0003809468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006653238,"about_ca_topic_score_gemma":0.00025697,"domain_scores_codex":[0.998333,0.0001567316,0.0003556001,0.0004808689,0.000277068,0.0003966734],"domain_scores_gemma":[0.999297,0.0002199945,0.0001297638,0.0002080892,0.00003166271,0.0001135372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004286197,0.002013854,0.1284698,0.0005341567,0.0006405335,0.001297149,0.002982898,0.02428403,0.08285828,0.02448141,0.00132356,0.7268281],"study_design_scores_gemma":[0.003909399,0.002545763,0.0002918262,0.00006862947,0.00008842054,0.0002128436,0.0008040438,0.005960148,0.04037714,0.001571649,0.9434934,0.0006767252],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8917453,0.09936804,0.002629359,0.003675554,0.000808294,0.0004322519,0.00004352301,0.0000177881,0.001279844],"genre_scores_gemma":[0.9411141,0.04848601,0.00228417,0.006058458,0.0002971484,0.001660216,0.00004443769,0.00003725642,0.0000182416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9421698,"threshold_uncertainty_score":0.7776295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01814273573074241,"score_gpt":0.3462831243431265,"score_spread":0.3281403886123841,"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."}}