{"id":"W3027300319","doi":"10.1109/tasc.2020.2996151","title":"Resonant Frequency Adjusting of an MSA via Laser Ablation of the Input Coil","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Applied Superconductivity","topic":"Physics of Superconductivity and Magnetism","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Materials science; Electromagnetic coil; Amplifier; Ablation; Laser; Laser ablation; Printed circuit board; Optoelectronics; Interference (communication); Microstrip; Optics; Channel (broadcasting); Electrical engineering; Physics; Computer science; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000188579,0.0002795967,0.0002102524,0.0001652163,0.0001787915,0.0002665241,0.0003643604,0.0002930396,0.0009911356],"category_scores_gemma":[0.0006062562,0.0001615786,0.0001708778,0.0001425544,0.0003169414,0.0003297627,0.0002813624,0.0003808077,0.0004292588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002422449,"about_ca_system_score_gemma":0.0001352778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002555148,"about_ca_topic_score_gemma":0.0005019861,"domain_scores_codex":[0.9998192,0.00001528968,0.00001074069,0.00005003299,0.00006913435,0.00003560418],"domain_scores_gemma":[0.9996241,0.0001256331,0.00008279353,0.00005684718,0.0000911403,0.0000194346],"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":[0.00001466465,0.000003118498,0.0001145158,0.00001746706,0.000001736964,0.00002293677,0.00002971318,0.00005938009,0.9978363,0.00009303712,0.00002554076,0.001781679],"study_design_scores_gemma":[0.000006158055,0.00007790397,0.001019274,0.00000253042,0.000008482942,0.0001142686,0.00001943367,0.001712777,0.9952524,0.00004938936,0.001733148,0.000004274853],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9163858,0.0005904019,0.07780972,0.0001615766,0.00008520532,0.00005319163,0.00008675156,0.0005721929,0.004255225],"genre_scores_gemma":[0.9684353,0.0001693447,0.02989096,0.00005254615,0.00002032798,0.00002971586,0.00003670272,0.00006654942,0.001298516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009911356,"threshold_uncertainty_score":0.003315687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02269407169675567,"score_gpt":0.2243979617023863,"score_spread":0.2017038900056306,"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."}}