{"id":"W7071435624","doi":"","title":"Talking to the President of the Early Onset Dementia Alberta Foundation","year":2019,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Foundation (evidence); Dementia; Primary care; MEDLINE","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002336199,0.0002165578,0.0001999298,0.00003274728,0.00006240093,0.00004046479,0.000597819,0.0002423974,0.02100202],"category_scores_gemma":[0.0002643446,0.0001494509,0.0001454218,0.000009489085,0.00007852354,3.785597e-8,0.0003005129,0.0001686899,0.00259169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001300578,"about_ca_system_score_gemma":0.00004298408,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006858113,"about_ca_topic_score_gemma":0.004421703,"domain_scores_codex":[0.9987434,0.00008929954,0.0005117466,0.0001326599,0.0003402553,0.0001826206],"domain_scores_gemma":[0.9983881,0.00004442347,0.0007323969,0.0006896546,0.0001053092,0.00004012084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003682731,0.00001202711,0.0001588246,0.0002215255,0.0001116645,1.163923e-7,0.0001758213,0.00107522,0.000007099803,0.00001313877,0.9976167,0.0005710529],"study_design_scores_gemma":[0.0002117891,0.0001368107,0.0004293937,0.0001520634,0.0000658967,0.00001389338,0.00004029215,0.00003812159,0.000162488,0.000001346827,0.9985815,0.0001663506],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001616318,0.0001043795,0.000006232671,0.0002534122,0.0003348576,0.0007157366,0.00004744977,0.00001250081,0.9969091],"genre_scores_gemma":[0.02198317,0.00004552795,0.0005330388,0.0003805325,0.00009654766,0.00001383468,0.0001568288,0.00006442668,0.9767261],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02036685,"threshold_uncertainty_score":0.9997553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003287552976430778,"score_gpt":0.1890740694703618,"score_spread":0.1857865164939311,"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."}}