{"id":"W4247617277","doi":"10.1007/978-94-007-0753-5_102566","title":"Most Common Data Value","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brandon University; University of Northern British Columbia","funders":"","keywords":"Value (mathematics); Computer science; Machine learning","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001982663,0.0002204277,0.0004840478,0.000104467,0.0007023106,0.000007388373,0.0006535039,0.0009392661,0.01322234],"category_scores_gemma":[0.0003165084,0.0001715579,0.00002701945,0.00002057242,0.00005297719,0.00008063977,0.0005514789,0.001950578,0.01579388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001177974,"about_ca_system_score_gemma":0.0006539854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000329091,"about_ca_topic_score_gemma":0.0002532628,"domain_scores_codex":[0.9976693,0.0001066437,0.001065275,0.0002864937,0.0004638711,0.000408409],"domain_scores_gemma":[0.996718,0.0007623258,0.000515084,0.001538607,0.0001311668,0.0003348327],"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":[0.000006242325,0.000001237822,0.00003046717,0.0005655102,0.000006775392,5.596394e-7,0.0000813841,2.380751e-7,3.186878e-8,0.4518258,0.5336193,0.01386245],"study_design_scores_gemma":[0.000270711,0.00003560659,0.00004485063,0.0009466995,0.00002762667,8.231014e-7,0.00002715772,0.002840226,6.442815e-8,0.008985033,0.9866474,0.0001737451],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000002212151,0.00009561,0.004346354,0.004681088,0.001554888,0.0006285022,0.0001760439,0.000229703,0.9882856],"genre_scores_gemma":[0.0002525764,0.0003404796,0.0005778886,0.03249088,0.001541845,0.00001431788,0.003701488,0.00004454316,0.961036],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4530281,"threshold_uncertainty_score":0.9876797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5004615485590377,"score_gpt":0.506086378064343,"score_spread":0.005624829505305295,"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."}}