{"id":"W1480745369","doi":"10.1111/nyas.12417","title":"Economic analysis of opportunities to accelerate Alzheimer's disease research and development","year":2014,"lang":"en","type":"article","venue":"Annals of the New York Academy of Sciences","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of British Columbia","keywords":"Clinical trial; Disease; Drug development; Dementia; Government (linguistics); Medicine; Alzheimer's disease; Confidence interval; Clinical research; Gerontology; Psychiatry; Drug; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.01204502,0.0005936751,0.0006998943,0.001908787,0.0004785736,0.002612176,0.0005201884,0.001295912,0.003523136],"category_scores_gemma":[0.04565319,0.0003583261,0.0007759901,0.001967827,0.0009034997,0.002350543,0.001206427,0.001560492,0.0001747233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006029629,"about_ca_system_score_gemma":0.003258126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005600009,"about_ca_topic_score_gemma":0.004434727,"domain_scores_codex":[0.9907897,0.007476236,0.0001792255,0.0001758014,0.0007383986,0.0006406489],"domain_scores_gemma":[0.9699596,0.02552386,0.001959982,0.0004259993,0.001326237,0.0008042641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001565533,0.0004091005,0.02944895,0.0007783119,0.0005142586,0.0004427865,0.0002226204,0.4235759,0.0002774274,0.4441679,0.01118465,0.08741255],"study_design_scores_gemma":[0.0004744855,0.0008511354,0.03253848,0.0006646402,0.0004834652,0.0002792589,0.001177924,0.5217252,0.00054265,0.413259,0.02788409,0.0001197476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6886794,0.02836306,0.09265584,0.0491202,0.0006244132,0.001018841,0.003495553,0.0001322329,0.1359105],"genre_scores_gemma":[0.9899938,0.003095111,0.003768045,0.0003771038,0.0001063265,0.0001560485,0.0002192205,0.000008787655,0.002275552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01204502,"threshold_uncertainty_score":0.06370097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8312004434762771,"score_gpt":0.5353318210279616,"score_spread":0.2958686224483155,"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."}}