{"id":"W2784082648","doi":"10.1088/1742-6596/941/1/012104","title":"The instrument for investigating magnetic fields of isochronous cyclotrons","year":2017,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Advanced Electrical Measurement Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF","funders":"","keywords":"Cyclotron; Magnetic field; Data acquisition; Measure (data warehouse); Polynomial; Resolution (logic); Position (finance); Range (aeronautics); Noise (video); Computer science; Physics; Mathematics; Engineering; Mathematical analysis","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":[0.001458618,0.0007589004,0.0009942439,0.002505114,0.0007809648,0.0007699889,0.001229048,0.0008586944,0.01003079],"category_scores_gemma":[0.002479105,0.0004207685,0.0003483095,0.002081662,0.00061415,0.001146901,0.001383625,0.001122679,0.003672328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006827745,"about_ca_system_score_gemma":0.001367628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005475223,"about_ca_topic_score_gemma":0.0006048367,"domain_scores_codex":[0.9982054,0.000291563,0.00006565823,0.0004146137,0.0008890697,0.0001337148],"domain_scores_gemma":[0.9979869,0.0002962356,0.0001133121,0.000533707,0.0009062182,0.0001636335],"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":[0.00114768,0.0002122917,0.01703329,0.000914427,0.00004834009,0.0002914336,0.0006125263,0.002661693,0.507183,0.01768983,0.02016881,0.4320368],"study_design_scores_gemma":[0.0005423363,0.003091831,0.05636392,0.0002981017,0.0002565091,0.003150551,0.0003246692,0.04967159,0.3468569,0.004994891,0.5342148,0.0002338814],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07435354,0.001374784,0.8770787,0.0002840997,0.001006783,0.001428296,0.003753673,0.0120495,0.02867077],"genre_scores_gemma":[0.2289316,0.0006975345,0.7492703,0.0002873492,0.0002914162,0.00213854,0.002549762,0.0007864983,0.01504707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01003079,"threshold_uncertainty_score":0.03355628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03766280223791461,"score_gpt":0.2653565034278032,"score_spread":0.2276937011898886,"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."}}