{"id":"W7096027436","doi":"","title":"� Information-Based Versus Number-Correct Routing in Multistage Classification Tests Alexander Weissman","year":2007,"lang":"en","type":"article","venue":"","topic":"Imbalanced Data Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Discretion; Government (linguistics); Agency (philosophy); Accreditation; Common law; Public law","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":[],"consensus_categories":[],"category_scores_codex":[0.001099839,0.0001522998,0.0001290287,0.0002599346,0.00009761671,0.0002063429,0.0007548797,0.000108991,0.00007708889],"category_scores_gemma":[0.000399801,0.0001516629,0.00003643052,0.0008080446,0.00004047116,0.001715236,0.00008629319,0.0001883228,0.0003459546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002644522,"about_ca_system_score_gemma":0.000109434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001657712,"about_ca_topic_score_gemma":0.0002564212,"domain_scores_codex":[0.9984688,0.00004928657,0.0005604663,0.0002474024,0.000326754,0.0003473319],"domain_scores_gemma":[0.9982676,0.0004971158,0.0002388727,0.0007726068,0.0001423601,0.00008143098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001345782,0.0003014911,0.1807157,0.00004792361,0.00001332837,0.00001077902,0.00151011,0.0001430297,0.003991316,0.3945214,0.009457665,0.4091528],"study_design_scores_gemma":[0.002322993,0.00006939213,0.4268142,0.00004796217,0.000003657755,0.000005376029,0.0004563175,0.5204002,0.03409986,0.0002804761,0.01491493,0.0005845691],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006894487,0.00000145405,0.9544086,0.0004405712,0.000269724,0.0002758158,0.00000429819,0.0007412725,0.0369638],"genre_scores_gemma":[0.8660642,0.000001421172,0.1332453,0.0003913412,0.00002056919,0.00002684525,0.00007842237,0.00000657851,0.0001652542],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8591697,"threshold_uncertainty_score":0.6184632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03198877910452739,"score_gpt":0.3129481400938276,"score_spread":0.2809593609893002,"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."}}