{"id":"W2058064887","doi":"10.4061/2010/978182","title":"Biological Markers and Alzheimer Disease: A Canadian Perspective","year":2010,"lang":"en","type":"article","venue":"International Journal of Alzheimer s Disease","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"","keywords":"Perspective (graphical); Disease; Alzheimer's disease; Medicine; Pathology; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002243164,0.0002439492,0.0002878535,0.0004860048,0.0001074644,0.0001007067,0.000284799,0.00007850378,0.001112093],"category_scores_gemma":[0.0004072499,0.0001845698,0.0003197983,0.0001185154,0.0003461167,0.000291419,0.00007850177,0.0004730923,0.00006895973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001126973,"about_ca_system_score_gemma":0.002073892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002194586,"about_ca_topic_score_gemma":0.0003770457,"domain_scores_codex":[0.9980178,0.00006941132,0.0003774443,0.0003116337,0.0008363675,0.0003873208],"domain_scores_gemma":[0.9942747,0.00007981794,0.0001751695,0.0002337291,0.001209715,0.004026874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01249392,0.002044782,0.8616573,0.000009936704,0.0679687,0.02454214,0.0002471606,0.000004786317,0.0002127155,0.007306091,0.008088613,0.01542381],"study_design_scores_gemma":[0.002567748,0.0002128142,0.9868065,0.0000793638,0.003399277,0.0003634681,0.0001865018,0.0001053283,0.00006955014,0.002704666,0.003284117,0.0002207425],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9120851,0.06031362,0.000008743505,0.02266436,0.001189967,0.000583396,0.000475592,0.00003498593,0.002644215],"genre_scores_gemma":[0.9973907,0.0005274269,0.0003472713,0.0009453593,0.0006739161,0.00001553811,0.00005841833,0.00002798904,0.00001336558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1251491,"threshold_uncertainty_score":0.999801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03089112229200947,"score_gpt":0.3407643528464596,"score_spread":0.3098732305544501,"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."}}