{"id":"W3026734581","doi":"10.1016/j.jval.2020.04.796","title":"PMU20 A DEVICE CATEGORY-BASED ECONOMIC MODEL EXPLORING ELECTROSURGERY TECHNOLOGIES ACROSS PROCEDURE TYPES: A UNITED STATES ANALYSIS","year":2020,"lang":"en","type":"article","venue":"Value in Health","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"EVERSANA (Canada)","funders":"","keywords":"Electrosurgery; Medicine; Operations management; Activity-based costing; Surgery; Engineering; Business","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":[0.003269674,0.001008967,0.001703421,0.001989718,0.0006509232,0.002600185,0.001791322,0.001585897,0.01181093],"category_scores_gemma":[0.007233393,0.0008264112,0.002993646,0.002634729,0.0005975922,0.001551394,0.001107109,0.002285893,0.0007675648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002925569,"about_ca_system_score_gemma":0.001806087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08951132,"about_ca_topic_score_gemma":0.04604226,"domain_scores_codex":[0.9986581,0.0008167506,0.00003341453,0.0001493783,0.00009501854,0.0002472996],"domain_scores_gemma":[0.9951067,0.003853977,0.000316879,0.0001902264,0.0003491156,0.0001831643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001355828,0.0007393402,0.03888597,0.0002552724,0.001435479,0.000288867,0.00008817815,0.8844548,0.0002682068,0.03226925,0.02393788,0.01602083],"study_design_scores_gemma":[0.0003850221,0.0005102145,0.02365237,0.0001078575,0.0009002571,0.000114978,0.0002624401,0.9583175,0.0002676198,0.0101509,0.005261632,0.00006917433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9210042,0.002722645,0.02461874,0.003747336,0.0002031362,0.0002913471,0.0222381,0.0003911623,0.02478332],"genre_scores_gemma":[0.9775624,0.0006385422,0.004089054,0.0003397348,0.00005932393,0.0002226865,0.008484324,0.00005580296,0.008548193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08951132,"threshold_uncertainty_score":0.1779807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5098418878074189,"score_gpt":0.4212594018386066,"score_spread":0.0885824859688123,"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."}}