{"id":"W4407585688","doi":"10.61356/j.nswa.2025.25489","title":"Einstein Aggregate Operators under Q-rung Orthopair Fuzzy Hypersoft Sets with Machine Learning","year":2025,"lang":"en","type":"article","venue":"Neutrosophic Systems with Applications","topic":"Fuzzy and Soft Set Theory","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Aggregate (composite); Fuzzy logic; Einstein; Computer science; Mathematics; Artificial intelligence; Materials science; Composite material; Mathematical physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001588624,0.0003916804,0.000601346,0.000501846,0.001029807,0.0005078631,0.0009684609,0.0001825605,0.00003337287],"category_scores_gemma":[0.0001567079,0.0002537028,0.0001061808,0.002733216,0.00033205,0.0003304644,0.0001319336,0.000544864,0.0003970363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00010575,"about_ca_system_score_gemma":0.0003731913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001671201,"about_ca_topic_score_gemma":0.0001826913,"domain_scores_codex":[0.9960904,0.0004653795,0.0007822901,0.001066397,0.001100294,0.0004952825],"domain_scores_gemma":[0.9962517,0.001207738,0.0003934928,0.001362127,0.0005387877,0.000246165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004737746,0.0003693701,0.1095598,0.0002014421,0.0003805633,0.0000538176,0.000891167,0.08818357,0.003060069,0.7879463,0.001408675,0.007471439],"study_design_scores_gemma":[0.0142971,0.002034699,0.05818296,0.002521717,0.000899936,0.001062209,0.02113528,0.03256986,0.001880395,0.06948722,0.7910737,0.004854896],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8435732,0.007780223,0.04792887,0.008324089,0.0007578364,0.005572224,0.0001507548,0.001328268,0.08458453],"genre_scores_gemma":[0.9902674,0.00003313656,0.0005420587,0.0006404913,0.0001191504,0.001047417,0.00003336118,0.0000475495,0.007269427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.789665,"threshold_uncertainty_score":0.9999915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02925928743846437,"score_gpt":0.3023626640548016,"score_spread":0.2731033766163373,"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."}}