{"id":"W3127840731","doi":"10.5539/cis.v14n2p1","title":"Universal Transcendental Logic-Based Ontology","year":2021,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Cognitive Science and Education Research","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transcendental number; Epistemology; Computer science; Premise; Ontology; Inference; A priori and a posteriori; Transcendental philosophy; Knowledge representation and reasoning; Meaning (existential); Representation (politics); Artificial intelligence; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002758895,0.00005159509,0.00005394713,0.0002072353,0.0003769704,0.0002964587,0.0002398858,0.00001783753,0.0001566644],"category_scores_gemma":[0.0001817619,0.00004580001,0.00001827794,0.0009841736,0.0007135586,0.003669915,0.00007557208,0.00007517339,0.0001171971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003074301,"about_ca_system_score_gemma":0.0005208653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003898793,"about_ca_topic_score_gemma":0.000001323398,"domain_scores_codex":[0.9990514,0.00003583234,0.0001179545,0.0001914366,0.0003821571,0.0002212311],"domain_scores_gemma":[0.9994271,0.00009326031,0.00002933862,0.0001084456,0.0002183852,0.0001234502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005075473,0.0002353743,0.004424425,0.00005871221,0.00000216907,0.00004014957,0.007996152,0.0006552135,0.1670346,0.3097945,0.001942436,0.5077655],"study_design_scores_gemma":[0.001603527,0.000288555,0.0834872,0.00003304617,0.000004610524,0.0003032699,0.001778689,0.2806093,0.5562866,0.001419598,0.07371962,0.0004659211],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7388607,0.00001590109,0.2068605,0.005774217,0.00106277,0.0001766112,0.00001219181,0.00008060358,0.04715654],"genre_scores_gemma":[0.9923794,0.00001788504,0.001155814,0.006373277,0.000021402,0.000001971174,0.000002433224,7.590707e-7,0.00004709158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5072996,"threshold_uncertainty_score":0.289939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05959282096213857,"score_gpt":0.3372852601432942,"score_spread":0.2776924391811556,"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."}}