{"id":"W3140219234","doi":"10.1016/j.jval.2017.08.637","title":"Resource Utilization And Disaggregated Cost Analysis For Initial Treatment Of Melanoma","year":2017,"lang":"en","type":"article","venue":"Value in Health","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cancer Care Ontario; Institute for Clinical Evaluative Sciences; University of Toronto","funders":"","keywords":"Melanoma; Resource (disambiguation); Computer science; Resource use; Natural resource economics; Economics; Medicine; Cancer research; Computer network","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":[0.0009656634,0.0003818352,0.0007875253,0.00140841,0.0001699515,0.000992649,0.0006322655,0.0004881109,0.004002492],"category_scores_gemma":[0.005188123,0.0003526359,0.001973825,0.002831195,0.0001872601,0.0006222512,0.0004801075,0.0006382664,0.0002498985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002858855,"about_ca_system_score_gemma":0.001330772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05227182,"about_ca_topic_score_gemma":0.03783895,"domain_scores_codex":[0.9991663,0.000431319,0.000054845,0.00008035917,0.0001056226,0.0001615908],"domain_scores_gemma":[0.9982023,0.001004281,0.0003199314,0.0001366855,0.0002206439,0.0001161035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.003643666,0.0004916032,0.1846906,0.0002771631,0.002514759,0.0002508839,0.0001243631,0.7698327,0.0008898703,0.005579026,0.005237453,0.02646802],"study_design_scores_gemma":[0.0002000517,0.0006785945,0.3951833,0.00009362286,0.001068261,0.000370033,0.0006017245,0.5923458,0.0009208163,0.003994358,0.004480298,0.00006316627],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981979,0.0009765938,0.001840837,0.000492468,0.00002191241,0.00005913531,0.01241467,0.00004192226,0.002173466],"genre_scores_gemma":[0.9950664,0.0001464535,0.000666987,0.00004206277,0.000008253523,0.0000323815,0.003495227,0.000009850122,0.0005323699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05227182,"threshold_uncertainty_score":0.1039351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2226551680286084,"score_gpt":0.4504007556636089,"score_spread":0.2277455876350004,"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."}}