{"id":"W3201096617","doi":"10.1142/s0218001421510101","title":"An Extension of the Gamma Test Statistics to Binary Variables and Some Applications","year":2021,"lang":"en","type":"article","venue":"International Journal of Pattern Recognition and Artificial Intelligence","topic":"Control Systems and Identification","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Wilfrid Laurier University; University of Alberta; University of Ottawa","funders":"","keywords":"Heuristics; Extension (predicate logic); Binary classification; Binary number; Computer science; Artificial intelligence; Variance (accounting); Algorithm; Machine learning; Mathematics; Mathematical optimization; Arithmetic; Support vector machine","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":[],"consensus_categories":[],"category_scores_codex":[0.01156115,0.001215237,0.001350784,0.00280757,0.0007349601,0.001403234,0.001799275,0.00249545,0.00294814],"category_scores_gemma":[0.05237889,0.000490649,0.00125463,0.003133713,0.003455608,0.002643395,0.002481293,0.004116361,0.0005634433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113686,"about_ca_system_score_gemma":0.001039193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00210376,"about_ca_topic_score_gemma":0.001344579,"domain_scores_codex":[0.9956157,0.00301418,0.0001239137,0.0003777075,0.0006853368,0.0001831608],"domain_scores_gemma":[0.9612786,0.03389773,0.001191773,0.001318767,0.001890144,0.0004231009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002724855,0.00011311,0.00457848,0.0003320994,0.00009221614,0.0011371,0.0002698079,0.2206187,0.002007841,0.6017227,0.005006032,0.1638495],"study_design_scores_gemma":[0.00003555387,0.0001267407,0.001100007,0.0001375293,0.00002272253,0.0003888399,0.00007262229,0.4243241,0.001260599,0.5667807,0.005688791,0.00006175235],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01093183,0.002427768,0.9806897,0.001901249,0.000193626,0.00003184589,0.00007992164,0.0001761847,0.003567841],"genre_scores_gemma":[0.4498163,0.00785261,0.5307944,0.001800171,0.001904118,0.0003216812,0.00048372,0.0003334386,0.006693504],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01156115,"threshold_uncertainty_score":0.06114197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03791919094875298,"score_gpt":0.2797782703107369,"score_spread":0.2418590793619839,"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."}}