{"id":"W4306754714","doi":"","title":"Computation of Equilibrium Compositions of GMAW Arc Plasmas and Its Applications in Spectroscopy","year":2018,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Laser-induced spectroscopy and plasma","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; Simon Fraser University","funders":"","keywords":"Plasma; Gas metal arc welding; Arc (geometry); Computation; Spectroscopy; Materials science; Computer science; Environmental science; Metallurgy; Engineering; Physics; Welding; Mechanical engineering; Algorithm; Arc welding; Nuclear physics","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"],"consensus_categories":[],"category_scores_codex":[0.001049528,0.0002532662,0.0004179571,0.0002783705,0.00007583207,0.00005959238,0.0004478006,0.0002398235,0.00003716182],"category_scores_gemma":[0.0001340266,0.0002972973,0.00009168578,0.0003743011,0.0001786746,0.0001040623,0.000339643,0.0004394691,0.000009002532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008442363,"about_ca_system_score_gemma":0.00009804671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001646541,"about_ca_topic_score_gemma":0.0005971303,"domain_scores_codex":[0.9978558,0.000708917,0.0006009758,0.0003781213,0.000222723,0.0002334186],"domain_scores_gemma":[0.9974868,0.0007992977,0.0002856121,0.0006847796,0.0006463621,0.00009716729],"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":[0.00003733067,0.001018753,0.003488345,0.002569795,0.0002217578,0.000002429207,0.009929775,0.01906988,0.8888679,0.0727489,0.0004105988,0.00163452],"study_design_scores_gemma":[0.0003294744,0.000001093774,0.003015986,0.001173757,0.00003590571,0.000003251581,0.00004466562,0.1450384,0.8455096,0.004427805,0.0001800754,0.000239888],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8998314,0.0005984679,0.08032694,0.0004227733,0.0001201438,0.0005827855,0.0002373277,0.0001473997,0.01773282],"genre_scores_gemma":[0.9741012,0.0003285122,0.02488684,0.000004856848,0.00001648029,0.00006075306,0.0004643378,0.00003679657,0.0001002001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1259685,"threshold_uncertainty_score":0.9999479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01144276730995893,"score_gpt":0.2332050359346489,"score_spread":0.22176226862469,"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."}}