{"id":"W1998257428","doi":"10.5779/hypothesis.v2i1.22","title":"The Alzheimer's Alarm Clock","year":2008,"lang":"en","type":"article","venue":"Hypothesis","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"ALARM; Computer science; Neuroscience; Psychology; Engineering; Electrical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004123678,0.0001390008,0.0001068865,0.00001464896,0.0008200848,0.0000173603,0.0002988893,0.00005392351,0.002171062],"category_scores_gemma":[0.0002179859,0.000102017,0.00006568162,0.0001419456,0.0004194493,0.0001229636,0.0001415177,0.0001506773,0.009911777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001029682,"about_ca_system_score_gemma":0.00001186604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001846324,"about_ca_topic_score_gemma":0.00003905711,"domain_scores_codex":[0.9985043,0.0001337104,0.0001848765,0.0003680839,0.0003653876,0.0004436416],"domain_scores_gemma":[0.9987345,0.0005880498,0.00006828069,0.0004642877,0.00000267123,0.0001421883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00005083411,0.0002865174,0.2931835,0.000004572503,0.0001720318,0.0001928851,0.002352256,0.000361534,0.006848393,0.0001965951,0.05147034,0.6448805],"study_design_scores_gemma":[0.0002078065,0.0000355901,0.5580577,0.00000643064,0.00003283793,0.00005391264,0.0001320417,0.0001935972,0.008614786,0.0005111279,0.4319091,0.0002450814],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.922354,0.000556039,0.0002007787,0.00258998,0.0001159103,0.0003764077,0.000005154357,0.00008364462,0.07371803],"genre_scores_gemma":[0.9943681,0.0008662934,0.00119753,0.001799211,0.00006733948,0.00004594041,7.507487e-7,0.00002923876,0.00162563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6446354,"threshold_uncertainty_score":0.9987411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05072463333511228,"score_gpt":0.2328032648413633,"score_spread":0.182078631506251,"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."}}