{"id":"W2883417149","doi":"10.1016/j.jalz.2018.06.2855","title":"Molecular imaging in dementia: Past, present, and future","year":2018,"lang":"en","type":"review","venue":"Alzheimer s & Dementia","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute on Aging","keywords":"Dementia; Molecular imaging; Disease; Neuroscience; Medicine; Neuroimaging; Modality (human–computer interaction); Clinical trial; Clinical Practice; Amyloid (mycology); Pathological; Pathology; Bioinformatics; Psychology; Computer science; Artificial intelligence; In vivo; Biology; Physical therapy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002797555,0.0007719448,0.001469853,0.0004946666,0.0001321721,0.0001073805,0.0002817794,0.0002566557,0.0003992114],"category_scores_gemma":[0.000005928374,0.0006282247,0.0004939039,0.0004594771,0.0002195006,0.0001513459,0.0004050037,0.0004661535,0.0003050152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002727907,"about_ca_system_score_gemma":0.0003852219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005554965,"about_ca_topic_score_gemma":0.00000444701,"domain_scores_codex":[0.9963037,0.0002649221,0.0007665094,0.00104526,0.0006741718,0.0009454268],"domain_scores_gemma":[0.9981102,0.00005049733,0.0002671755,0.0008396331,0.0001226591,0.000609807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003264422,0.0002921168,0.001827823,0.0009959026,0.2166874,0.001317745,0.00002030039,1.794788e-8,2.818944e-7,0.00004147016,0.01190128,0.7668831],"study_design_scores_gemma":[0.001165073,0.0001041547,0.000330052,0.001957835,0.1763598,0.0001373237,0.00001755972,0.000006975261,0.00001184952,0.00005508642,0.819442,0.0004122375],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001659102,0.9951088,0.000007050895,0.0004666735,0.0002397366,0.002101358,0.00005792733,0.00006684179,0.001935064],"genre_scores_gemma":[0.001463136,0.9949991,0.0004691258,0.0001426867,0.001736644,0.0003997412,0.000636309,0.0001501911,0.000003079757],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8075407,"threshold_uncertainty_score":0.9996169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03460695600750745,"score_gpt":0.3463455285505272,"score_spread":0.3117385725430198,"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."}}