{"id":"W4312155730","doi":"10.1017/s026646232200126x","title":"OP79 Incorporating Environmental Impacts Into Health Technology Assessment: An Examination Of Potential Approaches And Challenges","year":2022,"lang":"en","type":"article","venue":"International Journal of Technology Assessment in Health Care","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Health care; Excellence; Health technology; Strengths and weaknesses; Nice; Environmental impact assessment; Government (linguistics); Population; Business; Population health; Environmental resource management; Risk analysis (engineering); Environmental planning; Medicine; Environmental health; Computer science; Political science; Economics; Economic growth; Psychology; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1001274,0.001450037,0.001526672,0.006366951,0.003532788,0.02377546,0.004851375,0.009053275,0.01119705],"category_scores_gemma":[0.1174677,0.001048273,0.00297752,0.008408265,0.01585848,0.0162534,0.0127985,0.006652986,0.000907816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01859032,"about_ca_system_score_gemma":0.0325972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01839141,"about_ca_topic_score_gemma":0.02030394,"domain_scores_codex":[0.8693652,0.0953856,0.004332733,0.002150236,0.02556294,0.003203356],"domain_scores_gemma":[0.8088549,0.1561759,0.004288787,0.005029335,0.02430832,0.001342709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006970193,0.0001536769,0.004511292,0.003484474,0.0001793447,0.0004756583,0.002392578,0.01913306,0.0003150227,0.748619,0.02130902,0.199357],"study_design_scores_gemma":[0.00003078648,0.0002473714,0.005097632,0.01122848,0.0001152658,0.000461253,0.007490357,0.01122875,0.0007379968,0.6100541,0.3531667,0.0001413016],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01612694,0.06609629,0.1222858,0.3774192,0.002039068,0.001340662,0.0007030284,0.0002680721,0.413721],"genre_scores_gemma":[0.5158975,0.1365586,0.2610905,0.05491669,0.004278583,0.002687795,0.0005009224,0.0003851335,0.02368429],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1001274,"threshold_uncertainty_score":0.5295305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2009701641370105,"score_gpt":0.4315599554939717,"score_spread":0.2305897913569612,"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."}}