{"id":"W6930383010","doi":"10.5281/zenodo.11701228","title":"Senorita noten pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Intuitionistic Fuzzy Systems Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Circumstantial evidence; Paraphernalia; Hyporeflexia; Gloom; TSG101","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005076879,0.001293254,0.0009346419,0.00225204,0.001635685,0.003876037,0.001500142,0.001323401,0.8263246],"category_scores_gemma":[0.001612767,0.0005953131,0.0009317394,0.001858825,0.0006327647,0.003585895,0.002709636,0.002497318,0.7073538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009542515,"about_ca_system_score_gemma":0.001493704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002495023,"about_ca_topic_score_gemma":0.006581648,"domain_scores_codex":[0.9995956,0.00002763931,0.00002257125,0.00007922389,0.0002178606,0.00005726054],"domain_scores_gemma":[0.9989459,0.0000956654,0.00005024068,0.0001658481,0.0005131392,0.0002292103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001707298,0.00005789023,0.00008138761,0.0005423797,0.000007596805,0.0001853578,0.00008634781,0.00007832234,0.004355229,0.002981274,0.863055,0.1283985],"study_design_scores_gemma":[0.000008100315,0.000015941,0.0001525371,0.00005267431,0.000002836236,0.00009056801,0.00003011694,0.00001507177,0.000746691,0.0003471955,0.998533,0.000005295508],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009740693,0.00224942,0.001938086,0.001215038,0.003963359,0.0002550861,0.009413394,0.004649598,0.975342],"genre_scores_gemma":[0.002530536,0.001668342,0.0009384747,0.0006443541,0.0003707395,0.00009318368,0.004367832,0.001513475,0.9878731],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1736754,"threshold_uncertainty_score":0.2477269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02262923041027545,"score_gpt":0.238951017476176,"score_spread":0.2163217870659006,"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."}}