{"id":"W4245913553","doi":"10.36227/techrxiv.10732424.v1","title":"Modular Toroidal Copper Coil for the Investigation of Inductive Pulsed Power Generators in the MJ-Range","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Electromagnetic Launch and Propulsion Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inductance; Electrical engineering; Electromagnetic coil; Toroid; Modular design; Copper; Power (physics); Energy (signal processing); Physics; Materials science; Nuclear magnetic resonance; Computer science; Engineering; Operating system; Nuclear physics; Voltage; Metallurgy; Plasma","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002532445,0.0003047731,0.0002515938,0.000297777,0.0001395824,0.0002643719,0.0004238231,0.0002515911,0.001686235],"category_scores_gemma":[0.0004708596,0.000134939,0.0001782562,0.0004767647,0.0003036356,0.00032806,0.0001515685,0.0001611363,0.0003935109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003497272,"about_ca_system_score_gemma":0.0002240288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002606465,"about_ca_topic_score_gemma":0.0002314376,"domain_scores_codex":[0.9998864,0.00003531597,0.000004133329,0.00002058564,0.00003837613,0.0000151306],"domain_scores_gemma":[0.9997384,0.00009752205,0.00004073761,0.00004393157,0.00006396189,0.00001541784],"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":[0.001137263,0.0001437118,0.00518853,0.001143818,0.00005907631,0.0009707761,0.0005126077,0.1049995,0.7875465,0.01337605,0.002657319,0.08226481],"study_design_scores_gemma":[0.00009811285,0.004678745,0.01331739,0.00007685096,0.0001192504,0.001027835,0.0002979284,0.4246628,0.5215389,0.004304263,0.02981824,0.0000597812],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8354721,0.001753182,0.1510794,0.0001684378,0.0001347727,0.0001892031,0.0002368545,0.0007658088,0.01020021],"genre_scores_gemma":[0.984318,0.000242221,0.01402136,0.000006683384,0.00001481386,0.00003825245,0.00007375238,0.00002444251,0.001260478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001686235,"threshold_uncertainty_score":0.005641043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01194923742459511,"score_gpt":0.2086016409493412,"score_spread":0.1966524035247461,"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."}}