{"id":"W4417009480","doi":"10.2139/ssrn.5864721","title":"Fully connected neural network reconstruction of theta-pinch plasma density profiles using a multi-channel optical fiber interferometer","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Laser-Plasma Interactions and Diagnostics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Implosion; Interferometry; Electron density; Artificial neural network; Plasma; Plasma diagnostics; Convergence (economics); Iterative reconstruction","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001357197,0.001076218,0.001571656,0.0004708977,0.0008871708,0.0003877484,0.0007442023,0.0006478999,0.001006903],"category_scores_gemma":[0.0002020708,0.001025847,0.001258946,0.0005148839,0.0003746455,0.0004523046,0.0007774477,0.009136581,0.00007644857],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001609466,"about_ca_system_score_gemma":0.005804482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006500023,"about_ca_topic_score_gemma":0.000552009,"domain_scores_codex":[0.9919951,0.0005976486,0.002156905,0.00103644,0.0004695299,0.003744357],"domain_scores_gemma":[0.994912,0.0008118491,0.001971055,0.0006908965,0.001307813,0.0003063363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004489907,0.004350228,0.01564806,0.0006806622,0.01611708,0.00004513319,0.000985029,0.8350194,0.002174503,0.03322778,0.0003335222,0.08692873],"study_design_scores_gemma":[0.0100962,0.003018127,0.001891258,0.00681382,0.006248976,0.00468898,0.008153045,0.8147285,0.01362387,0.1262864,0.0007398941,0.003710878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9127747,0.0002238604,0.08031169,0.0001817869,0.004685457,0.0009281443,0.0002168236,0.00003664367,0.0006409091],"genre_scores_gemma":[0.9905173,0.0005290858,0.004247711,0.00002026705,0.001795279,0.00004038988,0.000113982,0.00007921045,0.002656735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09305868,"threshold_uncertainty_score":0.9999063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0207307960632053,"score_gpt":0.2656388038733213,"score_spread":0.244908007810116,"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."}}