{"id":"W6912258363","doi":"10.5281/zenodo.14963469","title":"Quasinary Computing - WHIRL ASI Technical Report Vol. 1 & 2.","year":2025,"lang":"en","type":"book","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Quantum computer; Computation; ENCODE; Binary number; Superposition principle; Natural computing; Model of computation; Gestalt psychology","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","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008115742,0.0002855117,0.0002905796,0.0001393062,0.001329787,0.0003347233,0.001172464,0.0004670979,0.001122988],"category_scores_gemma":[0.001437696,0.0002804442,0.0001681868,0.0001865466,0.0002352384,0.000005732211,0.003565466,0.0005647439,0.0007543518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001258914,"about_ca_system_score_gemma":0.00003011798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002318141,"about_ca_topic_score_gemma":1.796228e-7,"domain_scores_codex":[0.9977227,0.0002437209,0.000459299,0.0008788081,0.000281212,0.0004142554],"domain_scores_gemma":[0.9980558,0.00002256097,0.0002488051,0.0007178428,0.0008130363,0.0001420141],"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":[0.00006344255,0.00009166487,0.000002261706,0.0001071311,0.00007684928,0.0001179265,0.00001857624,0.00001484931,0.01146642,0.001225904,0.9262546,0.06056037],"study_design_scores_gemma":[0.0002044177,0.0004359328,0.00008088183,0.0001265352,0.00002667127,0.0004912559,0.00001497311,0.00004145841,0.000417893,0.0002629551,0.9975865,0.0003104694],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009489764,0.0004858401,0.006660158,0.0002390592,0.0003114006,0.0004712173,0.000145707,0.0005199511,0.9902177],"genre_scores_gemma":[0.06985222,0.0003294782,0.002057915,0.0008782974,0.003197489,8.603384e-8,0.0485534,0.002581006,0.8725501],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1176676,"threshold_uncertainty_score":0.9999703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02430112691044936,"score_gpt":0.260787821534773,"score_spread":0.2364866946243236,"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."}}