{"id":"W2606105631","doi":"10.1177/2050312117704861","title":"Achieving optimal technology use: A proposed model for health technology reassessment","year":2017,"lang":"en","type":"article","venue":"SAGE Open Medicine","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Health technology; Health care; Context (archaeology); Stakeholder; Knowledge management; Digital health; Health information technology; Medicine; Management science; Health policy; Risk analysis (engineering); Process management; Computer science; Business; Public relations; Engineering; Economics; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01640734,0.0002598343,0.001663911,0.0006798775,0.00115971,0.0002231994,0.001745667,0.0002870957,0.0001797465],"category_scores_gemma":[0.009377295,0.0002794512,0.00006540818,0.0001803917,0.0004079824,0.0009021193,0.0005279636,0.000324804,0.0001494197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000647579,"about_ca_system_score_gemma":0.0005228634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001002555,"about_ca_topic_score_gemma":0.0003675352,"domain_scores_codex":[0.9950242,0.00009264526,0.003220922,0.0008755377,0.00009812302,0.000688588],"domain_scores_gemma":[0.9938202,0.0003010184,0.003762896,0.001794323,0.0001044195,0.0002171572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001769511,0.0003893889,0.07089967,0.001152786,0.0003193493,0.00001097234,0.002760643,0.0005835699,0.00009268601,0.8263232,0.06479973,0.03249101],"study_design_scores_gemma":[0.02202148,0.003740937,0.03759404,0.00410213,0.0000787613,0.0001134759,0.007842575,0.3517517,0.0000485083,0.1927833,0.3776876,0.002235389],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04563013,0.002145797,0.2045312,0.7396635,0.0005733062,0.004619181,0.0002736603,0.0001305167,0.002432675],"genre_scores_gemma":[0.8212831,0.000549435,0.1512114,0.01781684,0.0004312716,0.0009880951,0.00007429986,0.0001007574,0.007544818],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7756529,"threshold_uncertainty_score":0.9999658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5318341073363746,"score_gpt":0.5454380003644221,"score_spread":0.01360389302804754,"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."}}