{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001204511,0.0021412,0.001243271,0.004079426,0.0007523836,0.002890515,0.002274483,0.001494196,0.2425364],"category_scores_gemma":[0.006099834,0.000916181,0.001416281,0.005944384,0.0004327959,0.002020696,0.002675762,0.001831203,0.2733277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001231812,"about_ca_system_score_gemma":0.001746215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008910024,"about_ca_topic_score_gemma":0.01316546,"domain_scores_codex":[0.9990613,0.00009456035,0.0001162263,0.000270328,0.0002206841,0.0002369436],"domain_scores_gemma":[0.9973838,0.0005568342,0.000203395,0.0009801775,0.0005750279,0.0003007799],"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":[0.00007362258,0.00002851181,0.000689983,0.0003431014,0.00001702278,0.00001359572,0.00002613665,0.0001221024,0.0002286901,0.0005155295,0.9942458,0.003695977],"study_design_scores_gemma":[0.0002004492,0.00002333198,0.004266802,0.000157112,0.00001692112,0.00004139443,0.0000823462,0.0006711514,0.001276542,0.002529269,0.9907004,0.00003429268],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001458023,0.00002466609,0.0001461517,0.0000618889,0.00002775831,0.00001904104,0.9956242,0.00265324,0.001297254],"genre_scores_gemma":[0.001182533,0.00006725677,0.000738935,0.00009716717,0.00002553839,0.0001702868,0.9949184,0.0009077076,0.00189225],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7574636,"threshold_uncertainty_score":0.8113652,"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."}}