{"id":"W2536561463","doi":"10.1016/j.jalz.2016.06.2262","title":"P4‐170: Combining Neurodegenerative Characterization With Amyloid Burden Measurement Using an Early Frame Amyloid PET Multivariate Classifier","year":2016,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Baycrest Hospital","funders":"","keywords":"Medicine; Nuclear medicine; Pathology; Artificial intelligence; 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":[0.00239943,0.0009484089,0.0007985641,0.001184517,0.0002578296,0.001012332,0.0005796843,0.000640072,0.002126855],"category_scores_gemma":[0.004409079,0.0002144123,0.0006460256,0.0005913839,0.0002724711,0.0006604135,0.000555355,0.0006552412,0.0009557005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003633098,"about_ca_system_score_gemma":0.0007917174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002975228,"about_ca_topic_score_gemma":0.002548321,"domain_scores_codex":[0.9993489,0.0001697265,0.00004079762,0.0001545037,0.0001967727,0.00008925392],"domain_scores_gemma":[0.9984627,0.0006813691,0.0001407126,0.0001672828,0.0004482305,0.00009970161],"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":[0.002408387,0.0009041245,0.126502,0.0002490683,0.0004926739,0.0002991129,0.0001528639,0.07484871,0.09775245,0.001108361,0.006980535,0.6883017],"study_design_scores_gemma":[0.00008169396,0.001242973,0.06620342,0.00002524845,0.0002132429,0.0005766581,0.00008730913,0.8846073,0.04237352,0.002059616,0.002434174,0.00009483663],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.741811,0.000443272,0.2488698,0.0003764608,0.0001132933,0.0004301963,0.001453945,0.002837655,0.00366432],"genre_scores_gemma":[0.8893207,0.0001002354,0.1072831,0.0000745969,0.00007406737,0.0001633332,0.001355645,0.0001449794,0.001483348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002975228,"threshold_uncertainty_score":0.01268953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07374708929188846,"score_gpt":0.3053762200007956,"score_spread":0.2316291307089071,"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."}}