{"id":"W2023934532","doi":"10.1088/1742-6596/400/5/052037","title":"3D magnetometer for 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":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"D-Wave Systems (Canada)","funders":"","keywords":"Dilution refrigerator; Magnetometer; Magnetic field; Electrical engineering; Refrigerator car; Electronics; Saturation (graph theory); Materials science; Optoelectronics; Nuclear magnetic resonance; Physics; Engineering; Mechanical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005017976,0.000581265,0.0005808912,0.0006681851,0.0004771982,0.000556608,0.001092736,0.0007645913,0.005276291],"category_scores_gemma":[0.000661788,0.0003812463,0.000380478,0.0002449329,0.0005244339,0.0005603593,0.0009236623,0.0008457566,0.002138503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005226887,"about_ca_system_score_gemma":0.0005003075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005182049,"about_ca_topic_score_gemma":0.0007269456,"domain_scores_codex":[0.9992529,0.0001229146,0.00002875719,0.0001290905,0.0004235206,0.00004299441],"domain_scores_gemma":[0.9995982,0.00009174428,0.00003538218,0.00009015392,0.0001504338,0.00003413432],"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":[0.0002499114,0.00003701225,0.001418935,0.0002805329,0.00003513867,0.0001396433,0.0001148743,0.00185486,0.9508874,0.007000345,0.004884126,0.03309717],"study_design_scores_gemma":[0.0001220024,0.0004330864,0.005313287,0.00007035772,0.00008860804,0.001394192,0.00005953584,0.05819027,0.818775,0.002677059,0.1126986,0.0001779089],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2186867,0.002458227,0.7187356,0.002006244,0.002110358,0.0006168268,0.003936998,0.0123536,0.03909544],"genre_scores_gemma":[0.51868,0.000516768,0.4660924,0.0008996801,0.0002351053,0.0005115551,0.001337539,0.0003317939,0.01139519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005276291,"threshold_uncertainty_score":0.01765096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02176486187300656,"score_gpt":0.2543413249385498,"score_spread":0.2325764630655432,"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."}}