{"id":"W4392908179","doi":"10.3390/curroncol31030115","title":"Biomarker Turnaround Times and Impact on Treatment Decisions in Patients with Advanced Non-Small Cell Lung Carcinoma at a Large Canadian Community Hospital with an Affiliated Regional Cancer Centre","year":2024,"lang":"en","type":"article","venue":"Current Oncology","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Grand River Hospital","funders":"","keywords":"Medicine; Turnaround time; Biomarker; Cohort; Lung cancer; Internal medicine; Oncology; Retrospective cohort study; Cancer; Carcinoma","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0005491676,0.0002708172,0.0002540636,0.0006536164,0.001344462,0.001136732,0.0006452079,0.0003646462,0.002264678],"category_scores_gemma":[0.00424552,0.0002076652,0.0003081012,0.001409981,0.000345905,0.0002930905,0.0005762127,0.0006883555,0.0001821554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01188578,"about_ca_system_score_gemma":0.01289847,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7217507,"about_ca_topic_score_gemma":0.7796319,"domain_scores_codex":[0.9990157,0.00008081267,0.00006196666,0.0001566656,0.0003156464,0.0003692579],"domain_scores_gemma":[0.995162,0.0006967005,0.001808207,0.00005684321,0.0009828481,0.001293517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001871855,0.00003941585,0.9937782,0.0000330774,0.00001856532,0.0003355316,0.0002272827,0.0002242582,0.0002186477,0.00002153358,0.0007905752,0.004125758],"study_design_scores_gemma":[0.000007506,0.000115801,0.9972712,0.00002877048,0.00001758684,0.0003396691,0.0009118873,0.0004666245,0.0001396471,0.00001660119,0.000673132,0.00001159618],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996969,0.000644337,0.00006013687,0.0003393865,0.00001427116,0.00002928766,0.0007669703,0.000009706654,0.001166923],"genre_scores_gemma":[0.9988998,0.0002138857,0.0001455152,0.00009125719,0.00001010827,0.00001002686,0.0003839141,0.000003098579,0.0002423307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2782493,"threshold_uncertainty_score":0.5597759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02976748101799895,"score_gpt":0.3721405988839503,"score_spread":0.3423731178659513,"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."}}