{"id":"W2337774288","doi":"10.14288/1.0080540","title":"On some separation axioms","year":2011,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Fuzzy and Soft Set Theory","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Separation (statistics); Mathematics; Axiom; Computer science; Geometry; Statistics","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":[0.005054231,0.0009504026,0.0008381447,0.0026609,0.004179254,0.003276981,0.001196794,0.00204519,0.01166341],"category_scores_gemma":[0.01222918,0.0006230678,0.001856785,0.002989828,0.005936132,0.008655708,0.003939024,0.005262749,0.002478415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002171119,"about_ca_system_score_gemma":0.002383951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002406421,"about_ca_topic_score_gemma":0.002114251,"domain_scores_codex":[0.9927308,0.002121124,0.0008557334,0.001830486,0.001822242,0.0006396187],"domain_scores_gemma":[0.9902089,0.005099844,0.0007649229,0.001203453,0.002347781,0.0003751293],"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":[0.00002590451,0.00001584303,0.0002251517,0.00007347063,0.00001504717,0.0001477734,0.0002902688,0.0004710368,0.0004469693,0.9850935,0.002693636,0.01050146],"study_design_scores_gemma":[0.00001788963,0.00002929698,0.0002481604,0.0000622692,0.00002240939,0.0003218278,0.000199668,0.001786379,0.0008669468,0.9493582,0.0470664,0.00002056093],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04177963,0.004016453,0.6628293,0.00664006,0.001223527,0.0003429688,0.001835145,0.0004110479,0.2809218],"genre_scores_gemma":[0.4666284,0.003782286,0.4717818,0.004480687,0.001635285,0.0006993419,0.003436941,0.0002057841,0.04734942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01166341,"threshold_uncertainty_score":0.03901798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04837848714682436,"score_gpt":0.252481803698157,"score_spread":0.2041033165513326,"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."}}