{"id":"W1979914546","doi":"10.1377/hlthaff.2010.0436","title":"Implications Of Health Reform For The Medical Technology Industry","year":2010,"lang":"en","type":"article","venue":"Health Affairs","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Health reform; Business; Health care reform; Health information technology; Health technology; Health policy; Health care; Economic growth; 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":[],"consensus_categories":[],"category_scores_codex":[0.006680025,0.0003910416,0.0005470323,0.00165131,0.001937039,0.004709687,0.0008898939,0.006695758,0.02281719],"category_scores_gemma":[0.03436717,0.0002176901,0.0009849262,0.001417519,0.003904341,0.004457905,0.001965455,0.004375912,0.001102644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009772191,"about_ca_system_score_gemma":0.01203402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02415943,"about_ca_topic_score_gemma":0.01901037,"domain_scores_codex":[0.9936108,0.002818521,0.0001711809,0.0003175139,0.001108798,0.001973151],"domain_scores_gemma":[0.9779725,0.01341266,0.002579628,0.0005986592,0.003092289,0.002344333],"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":[0.0001939252,0.0003469042,0.008328068,0.000182064,0.00005740246,0.0004025835,0.0003172625,0.004146445,0.0001833548,0.8700193,0.08540837,0.03041421],"study_design_scores_gemma":[0.0003309209,0.0002794404,0.03158304,0.0005816744,0.00008893135,0.000204022,0.002349678,0.006755239,0.0006656889,0.7271691,0.229916,0.0000762073],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02355626,0.00934442,0.001660344,0.9080327,0.0009609256,0.0000580196,0.0004685959,0.00002822455,0.05589046],"genre_scores_gemma":[0.802645,0.01328773,0.001419951,0.1544989,0.007173261,0.0001466996,0.0003692886,0.00002149869,0.02043755],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02415943,"threshold_uncertainty_score":0.07633114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06644897567081616,"score_gpt":0.3459065368068894,"score_spread":0.2794575611360732,"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."}}