{"id":"W3105716828","doi":"","title":"The quantum locker puzzle","year":2009,"lang":"en","type":"preprint","venue":"","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cheating; Quantum; Mathematical economics; Coin flipping; Computer science; Mathematics; Physics; Quantum mechanics; Psychology; Statistics; Social psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0005338833,0.0003020905,0.0002390399,0.00006480383,0.000571184,0.0009823439,0.003374582,0.0001799505,0.00000569441],"category_scores_gemma":[0.00003862335,0.0001741711,0.0002062308,0.0001868179,0.00006324818,0.00005080105,0.002757129,0.0009772176,0.00009212867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002901123,"about_ca_system_score_gemma":0.0001339633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004829857,"about_ca_topic_score_gemma":0.00001619745,"domain_scores_codex":[0.9979994,0.0001192556,0.0003084074,0.0006882147,0.0004028949,0.0004817796],"domain_scores_gemma":[0.9976756,0.0001965799,0.0001523777,0.001782001,0.00008411303,0.0001093172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002767452,0.00005677812,0.00001102128,0.00002014901,0.00004127016,0.00003767994,0.0003315932,0.01610969,0.000009412926,0.372276,0.02925076,0.5818529],"study_design_scores_gemma":[0.00005648011,0.00002815118,0.0003312106,0.00003653753,0.000003129443,0.00001820557,0.000003954251,0.7599229,0.00006085188,0.1803233,0.05897755,0.0002377899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003550599,0.001368974,0.9606805,0.02173527,0.002857774,0.0002763084,0.000001973829,0.000816806,0.008711806],"genre_scores_gemma":[0.5484317,0.0005454986,0.4349869,0.004923656,0.002604899,0.00005629533,0.00001642004,0.00008030327,0.008354312],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7438132,"threshold_uncertainty_score":0.9472765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01040031716117691,"score_gpt":0.2405106729166007,"score_spread":0.2301103557554239,"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."}}