{"id":"W4317933483","doi":"","title":"Atomic data for spectral line calculation in HID lamps","year":2010,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Laser-induced spectroscopy and plasma","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Line (geometry); Computer science; Physics; Mathematics; Geometry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004469285,0.000419341,0.0004463653,0.001355014,0.0008195251,0.0006552775,0.001649972,0.00074529,0.01431054],"category_scores_gemma":[0.001434475,0.0002650526,0.0005056233,0.001908141,0.0001619165,0.000654488,0.0004482859,0.0007235918,0.003324704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008688018,"about_ca_system_score_gemma":0.0004427512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004572722,"about_ca_topic_score_gemma":0.003902827,"domain_scores_codex":[0.9996678,0.00006041155,0.00001783218,0.00003468611,0.0001741349,0.00004510631],"domain_scores_gemma":[0.999082,0.0002105033,0.00004818544,0.0002066837,0.0004097329,0.00004287145],"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":[0.003793754,0.0005291824,0.05994822,0.002544226,0.000437453,0.001561265,0.001173463,0.2857742,0.3580573,0.05159483,0.04899669,0.1855893],"study_design_scores_gemma":[0.0002120986,0.0002897696,0.06431367,0.0001407078,0.0001788507,0.0003792185,0.0005087869,0.5166832,0.3378306,0.01486561,0.06449129,0.000106214],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6635288,0.001015208,0.2081093,0.0006357076,0.0001716728,0.0002705987,0.03243405,0.01311742,0.08071712],"genre_scores_gemma":[0.9597464,0.0003707921,0.02699428,0.0001129054,0.00001859017,0.0001857834,0.00638978,0.001053778,0.005127722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01431054,"threshold_uncertainty_score":0.0478735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02231416556296079,"score_gpt":0.2518247109260554,"score_spread":0.2295105453630946,"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."}}