{"id":"W4283219735","doi":"10.3390/sym14081559","title":"Development of an Interactive Code for Quick Data Analyses between STOR-M Tokamak Experimental Plasma Discharges","year":2022,"lang":"en","type":"article","venue":"Symmetry","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Tokamak; Torus; Python (programming language); Physics; Plasma; Langmuir probe; Visualization; Joule heating; Computational physics; Magnetic confinement fusion; Geodesic; Computer science; Plasma diagnostics; Nuclear physics; Geometry; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002780524,0.0001149779,0.0002017505,0.00012502,0.0002225429,0.00002560238,0.0006106088,0.00001127345,0.03403876],"category_scores_gemma":[0.00001012842,0.0001119838,0.00004641847,0.0001590342,0.00002950075,0.00005974917,0.001025802,0.0001269831,0.000005533205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002382692,"about_ca_system_score_gemma":0.0001419435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002363109,"about_ca_topic_score_gemma":0.00003931034,"domain_scores_codex":[0.9987572,0.00007182189,0.0002869045,0.0003287765,0.0003467077,0.0002085387],"domain_scores_gemma":[0.9991612,0.0001478179,0.0001234273,0.0004478451,0.00003891836,0.0000807875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003727285,0.002002916,0.03373267,0.00006755553,0.0009116716,0.000001875484,0.005024264,0.00001296586,0.1608775,0.002428567,0.01473923,0.7798281],"study_design_scores_gemma":[0.002547753,0.000670161,0.01116031,0.00002254539,0.0000864106,3.953319e-7,0.07538284,0.005636179,0.4767658,0.00009668466,0.4271035,0.0005273852],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901028,0.00002885407,0.001160298,0.0001295744,0.00009226239,0.0004265176,0.002066927,0.00001187174,0.005980904],"genre_scores_gemma":[0.9878943,1.272456e-7,0.008873604,0.000009487481,0.0001022906,0.000166853,0.001796656,0.00001302543,0.00114366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7793007,"threshold_uncertainty_score":0.9668443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1123566407212047,"score_gpt":0.4134942109981842,"score_spread":0.3011375702769796,"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."}}