{"id":"W2533672316","doi":"10.5120/ijca2016911903","title":"On Intuitionistic Fuzzy Multi Generalized Pre-Closed Set","year":2016,"lang":"en","type":"article","venue":"International Journal of Computer Applications","topic":"Fuzzy and Soft Set Theory","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Set (abstract data type); Closed set; Artificial intelligence; Discrete mathematics; Mathematics; Programming language","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":[0.0007957746,0.0004497251,0.0005271477,0.001472749,0.001255625,0.001985003,0.0007198827,0.0005658738,0.002400798],"category_scores_gemma":[0.001593553,0.0002237984,0.0009069045,0.001126475,0.002077168,0.004611419,0.001406762,0.001272336,0.0002135029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009657849,"about_ca_system_score_gemma":0.0006394933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00079993,"about_ca_topic_score_gemma":0.0004661408,"domain_scores_codex":[0.9990315,0.0001805131,0.00004953716,0.0002054621,0.0004236889,0.0001091719],"domain_scores_gemma":[0.999265,0.0002142549,0.0001007285,0.00006438345,0.0002576257,0.00009791049],"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":[0.00004356164,0.00002406877,0.0005068042,0.0001268489,0.00002165083,0.0003996379,0.0006670078,0.004485282,0.004469445,0.9770946,0.0007780673,0.01138292],"study_design_scores_gemma":[0.00002920477,0.0002208569,0.001479273,0.00007863354,0.00003865455,0.001299328,0.0004897343,0.05522065,0.002817424,0.9223877,0.01587131,0.00006709583],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2318722,0.004092743,0.6888497,0.001406152,0.0004348713,0.00008626837,0.0002126234,0.0002040869,0.0728414],"genre_scores_gemma":[0.9210646,0.001595697,0.06940965,0.0002097878,0.0003121741,0.00009631614,0.0001387934,0.00003030375,0.007142641],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002400798,"threshold_uncertainty_score":0.008031428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07222272532903343,"score_gpt":0.3981502082320084,"score_spread":0.325927482902975,"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."}}