{"id":"W4232966779","doi":"10.1090/fic/025/19","title":"Development of M. K. Gavurin’s pseudoperturbation method","year":2000,"lang":"en","type":"other","venue":"","topic":"advanced mathematical theories","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002012455,0.0002631908,0.0005663107,0.0001388177,0.00002013462,0.000006225051,0.0002002707,0.0002248966,0.01925476],"category_scores_gemma":[0.0001591795,0.0001975988,0.00007616609,0.00009837734,0.000045165,0.00002588459,0.00005364609,0.0001055979,0.0001917912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002705151,"about_ca_system_score_gemma":0.00005916713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001561698,"about_ca_topic_score_gemma":0.00001558731,"domain_scores_codex":[0.9987813,0.00004466739,0.0004879857,0.0002314128,0.0002782124,0.0001764577],"domain_scores_gemma":[0.9988775,0.0003455258,0.00027535,0.0004336915,0.00001806604,0.00004990657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001056732,0.0001455502,1.217614e-7,0.001004578,0.0001394787,0.000001303414,0.0006217081,3.714117e-7,0.0001545236,0.7050335,0.269412,0.0234763],"study_design_scores_gemma":[0.0001236467,0.00000713959,1.228274e-7,0.0003067658,0.00003322063,0.000002026221,0.00004937541,0.00001196055,0.004881068,0.4064206,0.5879461,0.0002179695],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.000002003181,0.00004395036,0.35659,0.000008237037,0.00004797575,0.0002225509,0.000005796832,0.0002138751,0.6428656],"genre_scores_gemma":[0.000001821399,0.00001014211,0.522469,0.00001152366,0.00003827812,0.0000205939,0.000005316007,0.0002206564,0.4772227],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3185341,"threshold_uncertainty_score":0.9816418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05566754753858139,"score_gpt":0.3728416641732554,"score_spread":0.317174116634674,"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."}}