{"id":"W7087331993","doi":"10.5281/zenodo.17309056","title":"Hybrid Neural Quantum Architecture (HNQA): Toward Probabilistic Cognition in Deterministic Systems","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Near-Field Optical Microscopy","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cybernet Systems Corporation (Canada)","funders":"","keywords":"Probabilistic logic; Ambiguity; Cognitive architecture; Hybrid system; Artificial neural network; Cognition; Architecture; Perception","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":[0.0009303582,0.0003996487,0.000451082,0.0002930908,0.0004732731,0.001495739,0.001333159,0.001136556,0.003713935],"category_scores_gemma":[0.001983563,0.0003377145,0.0005725774,0.0002775733,0.002152456,0.002741314,0.001821395,0.001971611,0.0004494799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008848322,"about_ca_system_score_gemma":0.0007212372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001491271,"about_ca_topic_score_gemma":0.001626045,"domain_scores_codex":[0.9996961,0.0001214819,0.00001211627,0.00004917329,0.00008702563,0.00003412295],"domain_scores_gemma":[0.9995141,0.0002428375,0.00003302813,0.0000955962,0.00006588131,0.00004861755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003566384,0.00002464348,0.000219172,0.00006746028,0.00003584302,0.00003865091,0.00009348174,0.1066808,0.002901752,0.866128,0.001366785,0.02240778],"study_design_scores_gemma":[0.00001006752,0.00003001121,0.00009362332,0.00001783189,0.000007335342,0.00002526961,0.00001854576,0.5030824,0.0009472906,0.4918413,0.003913567,0.00001275069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02351639,0.0006597844,0.9569456,0.002042602,0.0001662517,0.00003279489,0.0000654164,0.0003557101,0.01621548],"genre_scores_gemma":[0.751575,0.001228609,0.2382107,0.0006300467,0.0001651826,0.0001089687,0.00009916115,0.0001291144,0.00785325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003713935,"threshold_uncertainty_score":0.01242435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0186961048468614,"score_gpt":0.2324156828395837,"score_spread":0.2137195779927223,"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."}}