{"id":"W1986870665","doi":"10.1140/epjp/i2014-14258-0","title":"Prospects and limitations of algorithmic cooling","year":2014,"lang":"en","type":"article","venue":"The European Physical Journal Plus","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Canadian Institute for Advanced Research","funders":"","keywords":"Spins; Computation; Computer science; Integrator; Statistical physics; Ideal (ethics); Physics; Complex system; Reset (finance); Computational physics; Algorithm; Condensed matter physics; Quantum mechanics; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007588447,0.0008516167,0.001644707,0.0006853646,0.001407543,0.003345731,0.004142717,0.002108649,0.01839872],"category_scores_gemma":[0.02639515,0.0004883701,0.0007744579,0.0008477754,0.005970777,0.006976473,0.004239783,0.004517313,0.002895524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0013458,"about_ca_system_score_gemma":0.002593557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001248169,"about_ca_topic_score_gemma":0.001311024,"domain_scores_codex":[0.9972018,0.001476043,0.00007762246,0.000340755,0.0006493009,0.0002544363],"domain_scores_gemma":[0.9863461,0.009729001,0.0002226603,0.002333289,0.001017723,0.0003512356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000196815,0.00007475906,0.0003549701,0.0002372247,0.00003633593,0.00002386854,0.0001173588,0.03681072,0.000469998,0.8966265,0.00771992,0.05733158],"study_design_scores_gemma":[0.00007666444,0.00005823353,0.0001653462,0.0001155015,0.00001305142,0.00003781134,0.00005659009,0.1140277,0.0005693394,0.8678651,0.01699011,0.00002457417],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02815438,0.02877116,0.7505151,0.04548259,0.00411489,0.000224549,0.0003576636,0.001726272,0.1406533],"genre_scores_gemma":[0.6583695,0.0141988,0.2856961,0.005729022,0.006939176,0.0009581607,0.0004342094,0.00103638,0.02663868],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01839872,"threshold_uncertainty_score":0.0615499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02523501276460642,"score_gpt":0.267508270283378,"score_spread":0.2422732575187716,"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."}}