{"id":"W2038125503","doi":"10.1088/0004-6256/148/6/139","title":"ERRATUM: “THE LICK-INDEX CALIBRATION OF THE GEMINI MULTI-OBJECT SPECTROGRAPHS” (2013, AJ, 145, 164)","year":2014,"lang":"en","type":"erratum","venue":"The Astronomical Journal","topic":"X-ray Diffraction in Crystallography","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Physics; Calibration; Index (typography); Astronomy; Astrophysics; World Wide Web; Computer science","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","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00227726,0.0006012839,0.0007605769,0.0002410411,0.0009768871,0.0006462625,0.00324964,0.0005137991,0.001005715],"category_scores_gemma":[0.0001959032,0.0003013809,0.001049338,0.0003954205,0.001335324,0.0003170844,0.0004896102,0.003557288,0.00007464479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001762559,"about_ca_system_score_gemma":0.0005537324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001728865,"about_ca_topic_score_gemma":0.0001381254,"domain_scores_codex":[0.9950553,0.001252494,0.001317613,0.0005485367,0.0009660821,0.0008599404],"domain_scores_gemma":[0.9953719,0.0004152631,0.0022376,0.001535955,0.0002082708,0.0002309484],"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":[0.0001606568,0.0001824018,0.002597889,0.00002850237,0.0002103945,0.000001342602,0.0003162652,0.001705613,0.02435631,0.0001710535,0.9699371,0.0003324247],"study_design_scores_gemma":[0.004101496,0.0009513248,0.2056515,0.0009970765,0.001480668,0.0008803506,0.002075942,0.01249031,0.007050428,0.006183357,0.7558258,0.002311788],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6903827,0.003186079,0.05357756,0.02394648,0.2154592,0.003693205,0.0004314139,0.0004025873,0.008920818],"genre_scores_gemma":[0.9692988,0.000273607,0.001979066,0.0004556662,0.01178207,0.00006891476,0.00004158232,0.0001865555,0.01591374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2789162,"threshold_uncertainty_score":0.9999439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01298289184710892,"score_gpt":0.2426357208149418,"score_spread":0.2296528289678329,"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."}}