{"id":"W4406261114","doi":"10.1109/qce60285.2024.00117","title":"An Abstraction Hierarchy Toward Productive Quantum Programming","year":2024,"lang":"en","type":"article","venue":"","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Abstraction; Hierarchy; Computer science; Programming language; Theoretical computer science; Epistemology","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":[0.0003253157,0.0001460257,0.0001052832,0.0001574095,0.0001319733,0.0007465036,0.0005000067,0.00004644954,0.00001090881],"category_scores_gemma":[0.00001443112,0.0001117084,0.00006401159,0.0005154427,0.00003762114,0.0007075987,0.00009707813,0.0003004629,0.00007392686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003171401,"about_ca_system_score_gemma":0.00008471905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000526946,"about_ca_topic_score_gemma":0.000002349122,"domain_scores_codex":[0.9985805,0.00004945928,0.000165723,0.0006445519,0.0002472803,0.0003125187],"domain_scores_gemma":[0.999359,0.00005001179,0.0000257283,0.0004068282,0.00005114396,0.0001072856],"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":[0.000001992377,0.00006462634,0.00001172022,0.00003901326,0.00001654566,0.0000520451,0.002370809,0.001341177,0.001081606,0.0795547,0.0002501506,0.9152156],"study_design_scores_gemma":[0.0000452534,0.0002187553,0.000569383,0.00003734171,0.000003756567,0.0001095571,0.00007407656,0.9606993,0.001830178,0.01325932,0.02295048,0.000202668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08732638,0.0002487013,0.9044336,0.003552763,0.001588568,0.0002106686,8.600641e-7,0.001995402,0.0006430403],"genre_scores_gemma":[0.8524437,0.000003653031,0.1468127,0.00007264719,0.0004738682,0.00001224702,0.000002813624,0.00001303215,0.00016536],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.959358,"threshold_uncertainty_score":0.7198552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0150254519595637,"score_gpt":0.2755614246416156,"score_spread":0.2605359726820519,"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."}}