{"id":"W2955595457","doi":"10.1016/j.jval.2019.04.158","title":"PCN34 MAKING WORDS COUNT: OPPORTUNITIES FOR INNOVATION IN HEALTH TECHNOLOGY ASSESSMENT","year":2019,"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":"Takeda (Canada); St. Michael's Hospital","funders":"","keywords":"Qualitative research; Multidisciplinary approach; Health technology; Health care; Management science; Qualitative property; Medicine; Knowledge management; Engineering ethics; Psychology; Sociology; Computer science; Social science; Economic growth; Engineering; Economics","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004722032,0.0009849233,0.001631331,0.004265104,0.001784369,0.01139288,0.002019523,0.005972469,0.5267439],"category_scores_gemma":[0.04375637,0.0005004506,0.0004461112,0.004589413,0.002118767,0.005983653,0.003114912,0.004291055,0.3315292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003623787,"about_ca_system_score_gemma":0.004326625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003316408,"about_ca_topic_score_gemma":0.006270455,"domain_scores_codex":[0.9949315,0.001344953,0.000536064,0.0007293071,0.002128294,0.0003298619],"domain_scores_gemma":[0.944372,0.01915805,0.002483907,0.002299696,0.0239034,0.007782892],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004362341,0.00001726986,0.0002579329,0.0003342206,0.000005172729,0.00003432555,0.00001996589,0.00008029077,0.00008235472,0.006405623,0.8890466,0.1036727],"study_design_scores_gemma":[0.00002126639,0.00002519486,0.001485962,0.0008336004,0.00001014066,0.00009587605,0.00007915196,0.0004045383,0.0001589813,0.01000574,0.9868564,0.00002314483],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0009633758,0.01443023,0.00369017,0.09645953,0.09198076,0.0001748661,0.00304492,0.0006191348,0.788637],"genre_scores_gemma":[0.01905261,0.0154047,0.00347269,0.01369265,0.06264941,0.0002476801,0.001734327,0.0007212941,0.8830246],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9952779,"threshold_uncertainty_score":0.6750423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6319355951142256,"score_gpt":0.4943120994513966,"score_spread":0.137623495662829,"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."}}