{"id":"W2981272426","doi":"10.1016/j.jalz.2019.09.010","title":"P4‐644: A STRATEGIC HUMAN‐BASED ADRD RESEARCH PROGRAM: TOWARD BASIC MECHANISM DISCOVERY, THERAPEUTIC TRANSLATION, PUBLIC POLICY, EDUCATION AND HEALTH","year":2019,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Reductionism; Mechanism (biology); Translational research; Computer science; Data science; Engineering ethics; Political science; Management science; Knowledge management; Medicine; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004957803,0.0001820104,0.000164642,0.0003370781,0.0001223295,0.0002191205,0.0001723044,0.0001048215,0.0001279457],"category_scores_gemma":[0.00000222272,0.0001758986,0.00004423783,0.00053928,0.00005293153,0.0003053152,0.00001765595,0.0002516161,0.00005299157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003998147,"about_ca_system_score_gemma":0.0004554188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005829732,"about_ca_topic_score_gemma":0.00006046592,"domain_scores_codex":[0.9985414,0.00006434113,0.000271652,0.0002819539,0.0003366074,0.000504083],"domain_scores_gemma":[0.9994104,0.0000264129,0.00003258746,0.0002667074,0.00006518055,0.0001987191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001192936,0.001124364,0.001340401,0.0008081626,0.003465911,6.992342e-7,0.002065181,0.0001918229,0.012928,0.1605677,0.003002,0.8144938],"study_design_scores_gemma":[0.01104886,0.006551985,0.1981211,0.001621606,0.006799154,0.00007768784,0.005530246,0.2023648,0.04954815,0.2762278,0.2346605,0.007448189],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6220545,0.2953912,0.01594132,0.04399854,0.004652532,0.006546757,0.00005991646,0.002287904,0.009067347],"genre_scores_gemma":[0.99762,0.0001424201,0.001380349,0.0002154411,0.0002104415,0.0001928688,0.0001740476,0.00004651631,0.00001785694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8070456,"threshold_uncertainty_score":0.7172938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1399801265049223,"score_gpt":0.3704973876526019,"score_spread":0.2305172611476795,"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."}}