{"id":"W2071261026","doi":"10.1016/j.jalz.2011.05.2133","title":"P4‐112: Network efficiency changes in Alzheimer's diease and mild cognitive impairment","year":2011,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Cognitive impairment; Neuroimaging; Alzheimer's Disease Neuroimaging Initiative; Graph; Cognition; Computer science; Psychology; Artificial intelligence; Pattern recognition (psychology); Neuroscience; Theoretical computer science","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":[0.0006599756,0.0002833761,0.0003404222,0.001032382,0.0002820725,0.000638424,0.0003135689,0.0003468554,0.003247443],"category_scores_gemma":[0.005106379,0.0001430555,0.0002717289,0.0007212087,0.0003796999,0.0006896796,0.00053999,0.0004164709,0.0003047608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003924226,"about_ca_system_score_gemma":0.0002144888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003978355,"about_ca_topic_score_gemma":0.003573618,"domain_scores_codex":[0.9997892,0.00004465759,0.00001731697,0.00006024024,0.00005416611,0.00003455287],"domain_scores_gemma":[0.9982035,0.0006490427,0.0005013276,0.0001983427,0.0002445569,0.0002031985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003744555,0.0004247224,0.8654474,0.0002744158,0.000830989,0.00102871,0.002091953,0.01013857,0.04121052,0.002805907,0.003006188,0.06899609],"study_design_scores_gemma":[0.00001283629,0.00009410144,0.9923894,0.000008864008,0.000027616,0.0003123366,0.0001548737,0.003806156,0.00117619,0.001694097,0.0003152327,0.000008331112],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962082,0.0001661041,0.001419181,0.00008205767,0.000003436578,0.00001609754,0.0008311077,0.00003106723,0.001242674],"genre_scores_gemma":[0.9983272,0.0000519017,0.0005483512,0.00001359832,0.000004721255,0.00002028551,0.0005558029,0.00001082955,0.0004672329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003978355,"threshold_uncertainty_score":0.01086378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07337475109005268,"score_gpt":0.2731815715132491,"score_spread":0.1998068204231964,"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."}}