{"id":"W4398640897","doi":"10.7910/dvn/owgear/pnnrqx","title":"client_regimes.tab","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Business","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000168275,0.0003204595,0.0003577594,0.0001831266,0.0001099069,0.0005692905,0.003504363,0.0001857236,0.003409193],"category_scores_gemma":[0.0002057331,0.0003123138,0.000125682,0.0005512278,0.00006388396,0.0007645511,0.002081718,0.0003385908,0.4271609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004469386,"about_ca_system_score_gemma":0.0002169947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004605192,"about_ca_topic_score_gemma":0.00001402959,"domain_scores_codex":[0.9978904,0.00008334629,0.0003624193,0.0007778586,0.0005634199,0.0003225153],"domain_scores_gemma":[0.9969628,0.00004562829,0.0002519783,0.002377598,0.00007038962,0.0002915956],"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":[0.000002235151,0.00005220796,7.415711e-7,0.0000614687,0.00003572544,0.0001304369,0.00001205959,0.000003060627,0.000001148571,0.00294443,0.9963869,0.0003695451],"study_design_scores_gemma":[0.0002409725,0.00003431391,0.000001779255,0.00003957385,0.0000486597,0.00001079125,0.000007632494,0.002992136,0.000008130261,0.00005093853,0.9962066,0.0003584659],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[3.439764e-8,6.869352e-7,0.04361488,0.00004540183,0.0008671239,0.0001263066,0.9549199,0.000170143,0.0002554822],"genre_scores_gemma":[4.270288e-7,0.0004315619,0.002464397,0.003508318,0.0003657339,0.000005699646,0.9926822,0.00001285375,0.0005288165],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4237517,"threshold_uncertainty_score":0.9999329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02441106733266293,"score_gpt":0.2748419053215183,"score_spread":0.2504308379888554,"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."}}