{"id":"W4393531871","doi":"10.5281/zenodo.3960689","title":"ePSproc: Naphthalene S2 component Orb 34 > 45 (B2u) ionization, 1.0 - 30.1 eV","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Orb (optics); Component (thermodynamics); Naphthalene; Chemistry; Ionization; Computer science; Physics; Thermodynamics; Organic chemistry; Artificial intelligence","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":[0.00058136,0.003362034,0.001767354,0.002242418,0.001077452,0.002396821,0.003849343,0.002847285,0.1770984],"category_scores_gemma":[0.002133414,0.001120805,0.001789967,0.005836011,0.0003664096,0.002344852,0.001309541,0.002501992,0.1952091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002054447,"about_ca_system_score_gemma":0.001768056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02538266,"about_ca_topic_score_gemma":0.03504692,"domain_scores_codex":[0.999446,0.00006329461,0.00004094073,0.0001683771,0.0001792252,0.000102143],"domain_scores_gemma":[0.9991855,0.0002101322,0.00007587133,0.0002038025,0.0002560338,0.0000685579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004841242,0.000009904377,0.0002846379,0.0008593435,0.00003336552,0.00001921567,0.000009916087,0.0005180024,0.0002225385,0.0004683233,0.9963073,0.001219115],"study_design_scores_gemma":[0.0003204299,0.00001672685,0.002968613,0.0002352736,0.00005075723,0.00005232236,0.000039795,0.0009598272,0.001526328,0.002767371,0.9910188,0.00004384532],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000880993,0.00006845266,0.000062175,0.00004124283,0.00002076275,0.000004908463,0.997412,0.0008688554,0.001433542],"genre_scores_gemma":[0.000621339,0.0001112022,0.0002903286,0.00005609009,0.000006525053,0.00003903091,0.9973655,0.0005131806,0.0009967458],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1770984,"threshold_uncertainty_score":0.5924532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02644412866409041,"score_gpt":0.2663115546016683,"score_spread":0.2398674259375779,"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."}}