{"id":"W7096689549","doi":"","title":"Resource Utilization and Costs during the Initial Years of Lung Cancer Screening with Computed Tomography in Canada","year":2016,"lang":"en","type":"article","venue":"","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computed tomography; Lung cancer screening; Work (physics); Lung cancer; Resource (disambiguation); Download; Cost–benefit analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004179292,0.00004620229,0.00005032188,0.00002505676,0.00001736144,0.00000372479,0.00005386148,0.00001879196,0.000007503247],"category_scores_gemma":[0.000003916033,0.00002844876,0.000007625669,0.00008509402,0.00003179721,0.000001605882,0.00004091545,0.00001772218,2.451353e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002262334,"about_ca_system_score_gemma":0.00007163565,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.114846,"about_ca_topic_score_gemma":0.5459448,"domain_scores_codex":[0.9996293,0.00002221898,0.00007244392,0.0001077143,0.00007579477,0.00009252778],"domain_scores_gemma":[0.9998301,0.000008382229,0.00003123967,0.00008669324,0.00002331639,0.00002029671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001326307,0.00001005124,0.8406047,0.00002526324,0.0000940311,0.000005534722,0.00006416494,0.0001496651,0.09527079,0.0000124981,0.0001981498,0.06343248],"study_design_scores_gemma":[0.001128787,0.00004060637,0.9343072,0.00008580589,0.000009927026,0.000003104065,0.0001398327,0.0003625582,0.06179613,7.220164e-7,0.002017245,0.000108157],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979375,0.000422231,0.001274489,0.00008577645,0.0000125799,0.0001075241,0.000009925901,0.00000197683,0.0001480118],"genre_scores_gemma":[0.9995882,0.0000614949,0.0002402353,0.00003519801,0.00002283271,0.000006052614,0.000005971415,0.000006216529,0.00003379715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4310987,"threshold_uncertainty_score":0.8910483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009082101914287466,"score_gpt":0.2293904949381381,"score_spread":0.2203083930238506,"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."}}