{"id":"W2045051594","doi":"10.1038/nature04272","title":"Experimental implementation of heat-bath algorithmic cooling using solid-state nuclear magnetic resonance","year":2005,"lang":"en","type":"article","venue":"Nature","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":147,"is_retracted":false,"has_abstract":false,"ca_institutions":"Perimeter Institute; University of Waterloo","funders":"","keywords":"Qubit; Quantum computer; Computer science; Physical system; Computation; Quantum; Realization (probability); Topology (electrical circuits); Physics; Quantum mechanics; Algorithm; Mathematics; Electrical engineering; Engineering","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":[0.00003044717,0.0001022238,0.0001078321,0.0000252744,0.00008366466,0.00001056001,0.0001218458,0.0002227176,0.0004790919],"category_scores_gemma":[0.000002775666,0.0001090896,0.00004302101,0.00009041626,0.00003255471,0.00008906906,0.00003943007,0.0004730011,0.000003804462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009791338,"about_ca_system_score_gemma":0.00001818858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000274083,"about_ca_topic_score_gemma":0.000004262622,"domain_scores_codex":[0.9993238,0.000004275988,0.0001910668,0.0001852516,0.0001334572,0.000162082],"domain_scores_gemma":[0.9996607,0.000009965117,0.000061602,0.0001913464,0.00004176206,0.00003465401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000151428,0.0000473276,0.00005180453,0.00001567772,0.000003205293,0.000001255067,0.000261419,0.0003280526,0.9677342,0.0004008846,0.0003036949,0.03083739],"study_design_scores_gemma":[0.000345527,0.00002039917,0.00009884384,0.00003560858,0.00000806184,0.00001219296,0.0004325341,0.01057851,0.9475908,0.000136584,0.04060624,0.0001347323],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913766,0.005725727,0.00145744,0.0001256562,0.00001500956,0.0001522428,0.0001135506,0.0001412816,0.0008925417],"genre_scores_gemma":[0.9479307,0.00006674962,0.05152877,0.0001748701,0.0001192185,0.00001498944,0.00001961728,0.00002634219,0.0001187325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05007134,"threshold_uncertainty_score":0.5245721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009731086137770711,"score_gpt":0.3404279741847638,"score_spread":0.3306968880469932,"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."}}