{"id":"W2110823728","doi":"10.1109/pac.1991.164967","title":"Magnets for TRIUMF's KAON factory","year":2002,"lang":"en","type":"article","venue":"","topic":"Superconducting Materials and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF","funders":"","keywords":"Magnet; Cyclotron; Booster (rocketry); Physics; Nuclear physics; Factory (object-oriented programming); Nuclear engineering; Computer science; 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":[0.001431309,0.0005477893,0.000588302,0.001066415,0.002013347,0.001207734,0.0008089022,0.001395723,0.03610012],"category_scores_gemma":[0.001112915,0.0003318438,0.0005047536,0.0008814952,0.0003177995,0.001233557,0.001050983,0.001232496,0.01031273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001591005,"about_ca_system_score_gemma":0.002096262,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0013074,"about_ca_topic_score_gemma":0.003464263,"domain_scores_codex":[0.9993155,0.0001134586,0.00002395052,0.00006870276,0.0002996607,0.0001787921],"domain_scores_gemma":[0.9992054,0.00009166608,0.00007236269,0.0001325513,0.0003077968,0.0001901283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002442487,0.0003737318,0.005133682,0.001210359,0.00008136266,0.001566308,0.00075862,0.004051991,0.1342416,0.1295951,0.439537,0.2810079],"study_design_scores_gemma":[0.0003636769,0.0008355564,0.003909884,0.0001384684,0.00003474698,0.001308879,0.000151484,0.003275894,0.03345515,0.009064254,0.9473556,0.0001065305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1434453,0.0110161,0.2082003,0.01458404,0.007955473,0.001280691,0.008080892,0.02726464,0.5781726],"genre_scores_gemma":[0.4336443,0.005444768,0.2508534,0.003053327,0.001298249,0.001540862,0.01217942,0.003121086,0.2888646],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9986926,"threshold_uncertainty_score":0.1207669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04515727662283273,"score_gpt":0.1960627453610838,"score_spread":0.150905468738251,"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."}}