{"id":"W6907471614","doi":"10.22002/d1.378","title":"EM27/SUN GGG interferogram processing suite","year":2014,"lang":"en","type":"other","venue":"CaltechDATA","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Software; Suite; Data processing; Software suite; Processing; Column (typography); Spectrometer","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":[0.001086904,0.001251949,0.0009436529,0.003056731,0.0009092396,0.001818876,0.00265014,0.000754296,0.1231493],"category_scores_gemma":[0.002573824,0.0009038364,0.001054736,0.004675598,0.0002946496,0.002066618,0.001748462,0.001502627,0.113698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001122284,"about_ca_system_score_gemma":0.001551326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01424169,"about_ca_topic_score_gemma":0.01946973,"domain_scores_codex":[0.9992092,0.00005661366,0.00005591227,0.0001629663,0.0003984467,0.0001169344],"domain_scores_gemma":[0.9988781,0.00008113372,0.00008663649,0.0004029357,0.0004616783,0.00008948539],"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":[0.00008397624,0.00002323108,0.001580242,0.0001276221,0.00003441106,0.00004501531,0.00006882951,0.0005000535,0.001812899,0.001347081,0.9711835,0.02319312],"study_design_scores_gemma":[0.00008030725,0.000008740965,0.006120266,0.00004066608,0.00002636456,0.00006990149,0.00004692879,0.003573172,0.007080436,0.002529851,0.98037,0.00005323991],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.004495641,0.0001633665,0.02642204,0.0004065531,0.0002436837,0.0001832484,0.7725659,0.1333125,0.06220689],"genre_scores_gemma":[0.01076342,0.0001436406,0.04840241,0.0002435273,0.00008941389,0.0003637818,0.8860216,0.04092864,0.01304347],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1231493,"threshold_uncertainty_score":0.4119753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02819041357762846,"score_gpt":0.3077315825607958,"score_spread":0.2795411689831673,"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."}}