{"id":"W4394236522","doi":"10.6084/m9.figshare.4833149","title":"2003 CCHS Dataset and Codeset","year":2017,"lang":"en","type":"dataset","venue":"Figshare","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006519756,0.0002847615,0.0002798311,0.00007975282,0.0003222526,0.0009629375,0.003321419,0.0002561135,0.02789073],"category_scores_gemma":[0.0007824746,0.0002437481,0.00002592187,0.00009378147,0.00001345273,0.0007930069,0.003846786,0.0003746262,0.007267705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001523838,"about_ca_system_score_gemma":0.0001571359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007080906,"about_ca_topic_score_gemma":0.00004234722,"domain_scores_codex":[0.9984796,0.00003988511,0.0001732039,0.0006922903,0.0003214295,0.0002935824],"domain_scores_gemma":[0.996336,0.00006386085,0.000268286,0.003045395,0.0001050326,0.0001814323],"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":[8.522738e-7,0.00001680235,1.107397e-7,0.0001196817,0.000007998974,0.0001090754,0.000001405201,1.537501e-7,9.801295e-8,0.000002057022,0.9970297,0.002712046],"study_design_scores_gemma":[0.000143933,0.0000254794,0.00003367279,0.001086854,0.000006614782,0.00003923535,3.484571e-7,0.0008382362,0.00000268465,0.00002268694,0.9974849,0.0003153438],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[8.943836e-9,0.000828484,0.00003739658,0.00003367595,0.0002551324,0.0001759866,0.9985794,0.00004335698,0.00004652403],"genre_scores_gemma":[5.309638e-8,0.00007585542,0.001106742,0.0003158309,0.0002148067,0.00006700332,0.9981087,0.000008984466,0.0001020205],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02062302,"threshold_uncertainty_score":0.9939761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04880985389477178,"score_gpt":0.3173978766780006,"score_spread":0.2685880227832289,"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."}}