{"id":"W3110226276","doi":"10.3390/math11020480","title":"Neural Teleportation","year":2023,"lang":"en","type":"preprint","venue":"Mathematics","topic":"Stochastic Gradient Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Teleportation; Computer science; Artificial neural network; Representation (politics); Simple (philosophy); Maxima and minima; Function (biology); Process (computing); Theoretical computer science; Topology (electrical circuits); Artificial intelligence; Physics; Quantum entanglement; Mathematics; Quantum mechanics; Quantum; Quantum channel; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002521602,0.0001855113,0.0002265674,0.0002030409,0.00004796554,0.0002263912,0.0009789433,0.0001497565,0.000008717387],"category_scores_gemma":[0.0002506259,0.0001811622,0.00008469875,0.0002451394,0.00002265055,0.00008392785,0.0009593306,0.0002420957,0.0001428474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004415309,"about_ca_system_score_gemma":0.00005380137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005595997,"about_ca_topic_score_gemma":0.000001152833,"domain_scores_codex":[0.9986828,0.00001729513,0.0004097345,0.0003537168,0.0003580582,0.0001784148],"domain_scores_gemma":[0.9984071,0.0001266647,0.000336902,0.0009550274,0.0001232912,0.00005103975],"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":[9.96399e-7,0.0002686506,0.0001139556,0.001326156,0.00009654059,0.00009075905,0.007382138,0.07871992,0.00006402477,0.8786724,0.02457927,0.008685153],"study_design_scores_gemma":[0.00002600168,0.000009872068,0.00003931182,0.00007157979,0.000007826488,0.000006309296,0.00001329245,0.6870558,0.000158398,0.3124431,0.000029272,0.0001393144],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000742318,0.00001478865,0.9944481,0.0004747732,0.0008341899,0.0003814301,0.000007032973,0.002198273,0.0008990439],"genre_scores_gemma":[0.01932837,0.000009560913,0.9796135,0.00006789998,0.00006172906,0.0001449993,0.00003433572,0.00003867894,0.0007009035],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6083358,"threshold_uncertainty_score":0.7387579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0691452604189421,"score_gpt":0.2978946641547034,"score_spread":0.2287494037357613,"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."}}