{"id":"W2125182723","doi":"10.4204/eptcs.195.3","title":"Quantum Alternation: Prospects and Problems","year":2015,"lang":"en","type":"article","venue":"Electronic Proceedings in Theoretical Computer Science","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Chinese Academy of Sciences","keywords":"Denotational semantics; Statement (logic); Quantum; Semantics (computer science); Computer science; Mathematics; Quantum algorithm; Programming language; Algebra over a field; Discrete mathematics; Theoretical computer science; Operational semantics; Pure mathematics; Quantum mechanics; Physics; Linguistics; Philosophy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002459863,0.0002325048,0.0002302103,0.0003317401,0.0002316016,0.0007564992,0.001906934,0.00005864708,0.000001463691],"category_scores_gemma":[0.0001561154,0.0001925303,0.00002984177,0.001754728,0.001100249,0.0008486871,0.001133577,0.0005038243,0.000009134086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002143223,"about_ca_system_score_gemma":0.0003566693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005136415,"about_ca_topic_score_gemma":0.000001027405,"domain_scores_codex":[0.9968085,0.00002317441,0.0003024462,0.001000071,0.0008036766,0.001062173],"domain_scores_gemma":[0.9989719,0.00006308946,0.00009410515,0.0002658023,0.0002611554,0.0003439521],"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":[0.000004327365,0.00004505503,0.0003704111,0.0000106519,0.000002078686,0.000005438448,0.001276558,0.0003211159,0.0001465785,0.9801153,0.00002367576,0.01767883],"study_design_scores_gemma":[0.0002798401,0.0003500326,0.0003818723,0.00003528156,9.285109e-7,0.0001430269,0.000006259727,0.5889209,0.000551502,0.4089959,0.0001684817,0.0001659706],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4148917,0.0003410209,0.5786076,0.003030572,0.0004412671,0.0003645501,2.093208e-7,0.0003455884,0.001977546],"genre_scores_gemma":[0.9576363,0.00001230129,0.04187123,0.0002795836,0.0001688923,0.00001505678,1.693478e-7,0.00001028529,0.000006184704],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5885997,"threshold_uncertainty_score":0.7851159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007612402115275471,"score_gpt":0.2305862753071317,"score_spread":0.2229738731918562,"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."}}