{"id":"W2017269195","doi":"10.1088/1742-6596/400/5/052038","title":"Method to produce an uniform magnetic field in a dilution refrigerator","year":2012,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"D-Wave Systems (Canada)","funders":"","keywords":"Solenoid; Magnetic field; Electromagnetic coil; Dilution refrigerator; Helmholtz coil; Helmholtz free energy; Field (mathematics); Volume (thermodynamics); Superconductivity; Physics; Mechanics; Electrical engineering; Mechanical engineering; Refrigerator car; Materials science; Condensed matter physics; Thermodynamics; Engineering; Mathematics; Quantum mechanics","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":[0.0006279207,0.0001203705,0.0002092226,0.00009932563,0.00006409091,0.0001355779,0.0005107515,0.00003672556,0.00000573659],"category_scores_gemma":[0.00004377757,0.00009547755,0.00004619272,0.0003802705,0.00001647662,0.0012335,0.0001172231,0.0002791585,0.000004269864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002584536,"about_ca_system_score_gemma":0.0001390016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001529975,"about_ca_topic_score_gemma":0.00001203384,"domain_scores_codex":[0.9989358,0.0001243082,0.0002848407,0.0001412687,0.0002386326,0.0002752068],"domain_scores_gemma":[0.999168,0.0000607935,0.0001646486,0.0002445599,0.000199907,0.0001621012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003040858,0.0001587187,0.0005112084,0.00001678291,0.000007499795,0.000009153245,0.007850004,0.000992467,0.01556517,0.06654688,0.00006958803,0.9082421],"study_design_scores_gemma":[0.001168922,0.009204526,0.03172967,0.0006184672,0.00003693063,0.0006828654,0.001260816,0.08396393,0.7134588,0.1450743,0.01150472,0.001296079],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1684774,0.00005906623,0.8293374,0.001576101,0.000329879,0.00007030814,7.054262e-7,0.00001850722,0.0001305904],"genre_scores_gemma":[0.6990824,0.000003853994,0.3002982,0.0001901216,0.0003912305,0.000001413626,2.150014e-7,0.000004383067,0.00002817678],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9069461,"threshold_uncertainty_score":0.3893462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881374098927676,"score_gpt":0.28345769116241,"score_spread":0.2646439501731332,"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."}}