{"id":"W4236660591","doi":"10.32388/brkvc1","title":"Flat-Coated Retriever","year":2020,"lang":"en","type":"reference-entry","venue":"Definitions","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Labrador Retriever; Geology; Medicine; Surgery","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005607837,0.0002781193,0.0003372368,0.0001412576,0.0002637061,0.0002870744,0.001201579,0.0003266782,0.0003213613],"category_scores_gemma":[0.00006909072,0.0002520831,0.0001084645,0.0005934042,0.00004225518,0.0003563677,0.0008004074,0.0007065434,0.00223857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000478469,"about_ca_system_score_gemma":0.0003253022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004099629,"about_ca_topic_score_gemma":0.000003521365,"domain_scores_codex":[0.9982522,0.00006531006,0.0003121512,0.0006274557,0.0004342079,0.000308687],"domain_scores_gemma":[0.9985186,0.0001295419,0.0001574755,0.000897894,0.0000922664,0.0002041537],"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":[0.000001495315,0.00002445901,0.000001752534,0.00003140981,0.00002361316,0.00005815536,0.0000446731,4.818767e-7,0.000001536947,0.04212944,0.9427655,0.01491749],"study_design_scores_gemma":[0.0001750255,0.00004272816,0.00003931087,0.0001864281,0.00002562443,0.00002234513,0.000004665013,0.001929798,0.0000292205,0.007981276,0.9892314,0.0003321701],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.000005104156,0.002424592,0.2522962,0.001649652,0.002850009,0.0002393922,0.003378678,0.0007705843,0.7363858],"genre_scores_gemma":[0.004334178,0.2923628,0.4564674,0.01681182,0.009045746,0.00054238,0.1170629,0.0004602754,0.1029125],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6334733,"threshold_uncertainty_score":0.9999931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08142975212551755,"score_gpt":0.2638195839357222,"score_spread":0.1823898318102047,"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."}}