{"id":"W4380149137","doi":"10.1016/j.jval.2023.03.1687","title":"MT42 HTA Landscape of Medical Devices in Canada","year":2023,"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":"","funders":"","keywords":"Reimbursement; Health technology; Business; Environmental planning; Environmental resource management; Health care; Political science; Geography; Economics","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":[0.001990138,0.000316354,0.0004761844,0.004266439,0.004582828,0.007851133,0.001894143,0.001870011,0.01754716],"category_scores_gemma":[0.009901971,0.0004910146,0.0009534922,0.006790942,0.002127409,0.001153484,0.001847115,0.002511442,0.001081103],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1648472,"about_ca_system_score_gemma":0.210849,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940002,"about_ca_topic_score_gemma":0.9968032,"domain_scores_codex":[0.9947954,0.0002786321,0.0001435273,0.0003183703,0.002886437,0.001577725],"domain_scores_gemma":[0.9783717,0.001422504,0.0008943347,0.000265789,0.01216284,0.006882785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006967426,0.0003190714,0.1242445,0.0006385227,0.0002291877,0.001451458,0.002148633,0.008715394,0.002281555,0.2483895,0.4123848,0.1985006],"study_design_scores_gemma":[0.00009892759,0.0001568223,0.319296,0.0006748255,0.00008020307,0.0005537327,0.002952715,0.006988025,0.0005353553,0.006321586,0.6621587,0.0001830882],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3082536,0.02464417,0.003863954,0.212257,0.001232272,0.0005200393,0.05004762,0.0007512164,0.3984302],"genre_scores_gemma":[0.8088986,0.01226572,0.004649838,0.02213228,0.0005364769,0.000172374,0.01091157,0.0003325465,0.1401007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8351528,"threshold_uncertainty_score":0.9686589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4165548739745294,"score_gpt":0.4320107335899042,"score_spread":0.01545585961537482,"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."}}