{"id":"W1497883156","doi":"10.1007/978-1-4939-3658-8_8","title":"Heat Bath Algorithmic Cooling with Spins: Review and Prospects","year":2016,"lang":"en","type":"book-chapter","venue":"Biological magnetic resonance","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Institute for Advanced Research; Perimeter Institute; University of Waterloo","funders":"Consejo Zacatecano de Ciencia, Tecnología e Innovación; Canadian Institute for Advanced Research","keywords":"Qubit; Spins; Quantum computer; Physics; Quantum; Quantum mechanics; Atomic physics; Condensed matter physics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005840254,0.0003954415,0.0005617238,0.00001671601,0.00008618148,0.00001520961,0.0002499559,0.0003463837,0.001676805],"category_scores_gemma":[0.0000321905,0.0002283257,0.00006898093,0.00002691186,0.0003656277,0.00002403003,0.0001254492,0.0003215195,0.0000441833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004726377,"about_ca_system_score_gemma":0.00002540407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001410841,"about_ca_topic_score_gemma":7.796488e-7,"domain_scores_codex":[0.9985253,0.000005263984,0.0003219821,0.0007311888,0.000132999,0.0002832716],"domain_scores_gemma":[0.9991407,0.00007218501,0.00009299146,0.0005125842,0.00007166039,0.0001099186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009429271,0.00005913484,0.00007320392,0.00192626,0.00002251709,0.00009789297,0.000005245408,1.247729e-7,0.004592195,0.2026255,0.002978784,0.7875249],"study_design_scores_gemma":[0.0002027419,0.0002532335,0.00007906323,0.004571521,0.00004802366,0.00007870489,4.794305e-7,0.000005936749,0.0001929836,0.01352369,0.9805894,0.0004542353],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007249924,0.5381672,0.0005562733,0.0005364725,0.000008744418,0.0007931044,0.0002181993,0.0002990261,0.4593485],"genre_scores_gemma":[0.0006756132,0.5362675,0.01210241,0.0009326464,0.0003229541,0.0005709998,0.00004559047,0.00007781249,0.4490045],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9776106,"threshold_uncertainty_score":0.9992358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02022203945956962,"score_gpt":0.2556126070502004,"score_spread":0.2353905675906308,"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."}}