{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020903,0.00223211,0.002033859,0.01085358,0.001599285,0.002620582,0.004681509,0.001905365,0.09222871],"category_scores_gemma":[0.02035336,0.0008884612,0.002100931,0.02080651,0.0007249805,0.001138315,0.00160182,0.00264108,0.06100314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008679768,"about_ca_system_score_gemma":0.0227903,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6774254,"about_ca_topic_score_gemma":0.7218663,"domain_scores_codex":[0.9977496,0.0002413758,0.0002920425,0.0004687985,0.0007748861,0.0004733067],"domain_scores_gemma":[0.9891112,0.002108884,0.0005338918,0.00162437,0.005723621,0.0008979908],"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":[0.00003394959,0.000008224721,0.0003762034,0.0002090589,0.00001781919,0.000007743575,0.00000667482,0.0001766885,0.00001468681,0.0001693579,0.9979606,0.001019],"study_design_scores_gemma":[0.0004113844,0.00001797966,0.01419306,0.0006403098,0.00007937894,0.00006490693,0.0001651941,0.0009190642,0.0002667144,0.001355374,0.9818187,0.00006788727],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000593039,0.00002542554,0.00002791954,0.00003035861,0.0000152986,0.00001395952,0.9994579,0.0001005971,0.0002691976],"genre_scores_gemma":[0.000274531,0.00003548901,0.0001282432,0.00003045502,0.000005006832,0.00006489151,0.9989048,0.0000543928,0.0005021309],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3225746,"threshold_uncertainty_score":0.6489486,"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."}}