{"id":"W3213168268","doi":"10.1002/cam4.4411","title":"The need for speed in advanced non‐small cell lung cancer: A population kinetics assessment","year":2021,"lang":"en","type":"article","venue":"Cancer Medicine","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Asymptomatic; Placebo; Lung cancer; Population; Radiation therapy; Oncology; Clinical trial; Internal medicine; Pathology","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":[0.04383813,0.0005511698,0.001238723,0.001053974,0.0003881368,0.002362393,0.0006679524,0.001232699,0.002128533],"category_scores_gemma":[0.09735651,0.0004531494,0.001647997,0.0007224993,0.0007538975,0.003191395,0.001124222,0.001374103,0.0003930097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001001013,"about_ca_system_score_gemma":0.001677782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007673805,"about_ca_topic_score_gemma":0.0005092626,"domain_scores_codex":[0.9843462,0.01232694,0.0007452748,0.001031253,0.001353919,0.0001964265],"domain_scores_gemma":[0.8942341,0.08535327,0.009159396,0.005862639,0.004657218,0.0007333875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01595317,0.0006781105,0.4868917,0.002739622,0.00507411,0.0004986436,0.001347519,0.09025276,0.01399211,0.02030147,0.005919627,0.3563513],"study_design_scores_gemma":[0.002151722,0.02513783,0.4092481,0.001168558,0.007993615,0.00400288,0.001450999,0.3819157,0.02610049,0.09107495,0.0493199,0.0004351345],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7220506,0.01547666,0.2413936,0.005970342,0.0003135248,0.002070039,0.002017876,0.0007005982,0.01000663],"genre_scores_gemma":[0.9689464,0.0008328875,0.02732876,0.0006273412,0.00009229029,0.0008522983,0.0003742829,0.0000557627,0.0008899835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04383813,"threshold_uncertainty_score":0.231841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01697236200927314,"score_gpt":0.3867362660368793,"score_spread":0.3697639040276061,"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."}}