{"id":"W2766091780","doi":"10.5539/mas.v11n11p85","title":"A Generalization Concept of Measure by Using Binary Operations","year":2017,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Generalization; Measure (data warehouse); Binary number; Computer science; Algebraic number; Function (biology); Domain (mathematical analysis); Binary function; Mathematics; Algebra over a field; Data mining; Arithmetic; Pure mathematics; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002646858,0.0007991365,0.0009304202,0.002629495,0.00115687,0.003210585,0.001089526,0.001099721,0.002553668],"category_scores_gemma":[0.003915397,0.0002900986,0.001670138,0.002096997,0.004751994,0.009729202,0.002912822,0.00282532,0.0007023323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001057549,"about_ca_system_score_gemma":0.0009072134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005771286,"about_ca_topic_score_gemma":0.0003159332,"domain_scores_codex":[0.9970188,0.0007123784,0.0003136267,0.000968958,0.0008001271,0.0001860902],"domain_scores_gemma":[0.9980876,0.0006605047,0.0002684698,0.0004160534,0.000412707,0.0001547181],"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":[0.00001743114,0.00001170041,0.0001433611,0.00007830781,0.00001830532,0.0000698158,0.0001706245,0.0007588957,0.001784991,0.9779559,0.0008960158,0.01809464],"study_design_scores_gemma":[0.00001555263,0.0001008961,0.0004400157,0.00008558935,0.00003470846,0.0008192522,0.0001376548,0.01326333,0.002387726,0.9169754,0.06567737,0.00006246909],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02011123,0.005631388,0.9381008,0.001796297,0.00153249,0.00007505815,0.0001846625,0.0002459382,0.03232211],"genre_scores_gemma":[0.4903026,0.006974145,0.4839245,0.002451523,0.003351168,0.0004618935,0.0003677099,0.0002283095,0.01193831],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003210585,"threshold_uncertainty_score":0.01399809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03855221277626298,"score_gpt":0.2853629001513949,"score_spread":0.2468106873751319,"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."}}