{"id":"W2000935231","doi":"10.5539/jmr.v2n2p141","title":"The Mathematical Model and Analytical Solution of Electromagnetic Rail in the Loading Condition","year":2010,"lang":"en","type":"article","venue":"Journal of Mathematics Research","topic":"Electromagnetic Launch and Propulsion Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Yanshan University; National Natural Science Foundation of China","keywords":"Cantilever; Foundation (evidence); Mathematics; Mathematical model; Mechanics; Structural engineering; Engineering; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003947129,0.00007582166,0.0001939594,0.0002286976,0.00009072767,0.0000480918,0.0003670818,0.0001123507,0.00002842172],"category_scores_gemma":[0.0008311028,0.00004074182,0.00004591005,0.0002819079,0.000287004,0.00005916662,0.00003405258,0.001225476,0.000003998845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002614061,"about_ca_system_score_gemma":0.00005041661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001031328,"about_ca_topic_score_gemma":0.00001542444,"domain_scores_codex":[0.9984809,0.00008666061,0.0005001232,0.00005612278,0.0005661738,0.0003100829],"domain_scores_gemma":[0.9983258,0.001171258,0.00007736319,0.0002079709,0.0001677908,0.00004984109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000371142,0.0002824217,0.00004391943,0.0004702131,0.00005533815,0.00002495944,0.001779299,0.0002439476,0.7172254,0.2647963,0.004133729,0.0109073],"study_design_scores_gemma":[0.0003051638,0.0004368842,0.0001138359,0.00005701818,0.00001576789,0.000404818,0.0003593063,0.5663162,0.008679074,0.4231855,0.00007256745,0.00005391728],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927503,0.0004048217,0.003274846,0.001234583,0.00002520547,0.0001562962,6.843357e-7,0.000009065396,0.002144232],"genre_scores_gemma":[0.9934357,0.000323706,0.006128081,0.000004683441,0.00003035766,0.000006909188,2.077433e-7,0.00001088966,0.00005941682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7085463,"threshold_uncertainty_score":0.5324152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02922605352372389,"score_gpt":0.3261248078565351,"score_spread":0.2968987543328112,"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."}}