{"id":"W3193126009","doi":"10.46747/cfp.6708562","title":"Aggregate values, not arithmetic","year":2021,"lang":"en","type":"letter","venue":"Canadian Family Physician","topic":"Alcoholism and Thiamine Deficiency","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Interpretation (philosophy); Aggregate (composite); Information retrieval; Medicine; Natural language processing; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009528321,0.0003936167,0.0007415928,0.00145685,0.002376713,0.00560955,0.001356588,0.002263434,0.02211301],"category_scores_gemma":[0.08263677,0.0002509819,0.0003093622,0.003928173,0.004602084,0.00914825,0.002521412,0.007323888,0.009401636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005334003,"about_ca_system_score_gemma":0.003494351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0110517,"about_ca_topic_score_gemma":0.01743108,"domain_scores_codex":[0.9859918,0.006286311,0.001046464,0.0008523039,0.005177223,0.00064592],"domain_scores_gemma":[0.9572942,0.02064208,0.002428961,0.004415663,0.01340105,0.001818043],"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":[0.0000647346,0.0000112594,0.001704222,0.0001083054,0.00001236098,0.0002078151,0.0007721976,0.0001369368,0.0001286182,0.1742979,0.7500542,0.07250147],"study_design_scores_gemma":[0.00001003264,0.0000248665,0.0009955148,0.000280841,0.000008295568,0.0004763422,0.000843024,0.0004141107,0.0001535144,0.1035042,0.8932641,0.00002518466],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002159844,0.007452783,0.01752776,0.787383,0.0226138,0.00007017609,0.0007565654,0.0003510356,0.161685],"genre_scores_gemma":[0.2379074,0.0258829,0.0439183,0.5231163,0.04932444,0.000452688,0.001485271,0.001044313,0.1168685],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02211301,"threshold_uncertainty_score":0.07397544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03061969940250874,"score_gpt":0.2453754223465533,"score_spread":0.2147557229440445,"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."}}