{"id":"W2791986299","doi":"10.28924/2291-8639-16-2018-276","title":"On Fuzzy Ordered LA-Semihypergroups","year":2018,"lang":"en","type":"article","venue":"International Journal of Analysis and Applications","topic":"Fuzzy and Soft Set Theory","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics; Fuzzy logic; Pure mathematics; Computer science; Artificial intelligence","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":[0.001655481,0.0007047813,0.0005482699,0.002457731,0.002053218,0.002461762,0.0005807849,0.0008515209,0.005836344],"category_scores_gemma":[0.002074504,0.0002410539,0.0008365346,0.001629272,0.004478424,0.004614817,0.00259917,0.00133914,0.001075571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001067439,"about_ca_system_score_gemma":0.0005568338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008031483,"about_ca_topic_score_gemma":0.0006232107,"domain_scores_codex":[0.9987316,0.0003855249,0.00006890651,0.0001686917,0.0003602742,0.0002850256],"domain_scores_gemma":[0.9986796,0.0004397644,0.0002185795,0.0001334685,0.0002623157,0.00026627],"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":[0.00002986762,0.00001600135,0.0001233158,0.00003882195,0.000006703729,0.000137313,0.000340496,0.001146756,0.001519518,0.9919341,0.0004922561,0.004214969],"study_design_scores_gemma":[0.00001790139,0.00004649928,0.0002583684,0.00003642667,0.000007399502,0.0001448287,0.0003296241,0.005107434,0.0007184677,0.9837284,0.009581341,0.00002324801],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.2861883,0.004355945,0.4587323,0.002275524,0.001150332,0.0002235372,0.0004288872,0.0002632794,0.2463819],"genre_scores_gemma":[0.8781134,0.002267221,0.07255012,0.0005523209,0.001395923,0.0002898806,0.0004249529,0.00006683424,0.04433933],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005836344,"threshold_uncertainty_score":0.01952451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03010119629765105,"score_gpt":0.3852505071799588,"score_spread":0.3551493108823078,"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."}}