{"id":"W6894172535","doi":"10.5683/sp2/pgyqev","title":"SSAR magnitude correlation code, catalog, and plot data","year":2019,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Magnitude (astronomy); Statistical analysis; Plot (graphics); Scatter plot; Code (set theory); Correlation","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006540639,0.0005389476,0.000604466,0.000308365,0.0001105195,0.0001898198,0.001751265,0.0005832971,0.0001224438],"category_scores_gemma":[0.0005631187,0.0005374053,0.00004355219,0.0002132638,0.0001908857,0.0005459902,0.001454482,0.0006293972,0.004014801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000120854,"about_ca_system_score_gemma":0.0002275203,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1056531,"about_ca_topic_score_gemma":0.1308373,"domain_scores_codex":[0.9970468,0.0001670244,0.0004770024,0.001170982,0.0006855479,0.0004526929],"domain_scores_gemma":[0.9938724,0.0001923358,0.0004881504,0.005126161,0.0001311277,0.00018985],"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":[0.00006520728,0.00007943383,0.0001498711,0.0001770253,0.0001110959,0.00004510502,0.00001829523,0.000009656457,0.000005304429,0.00001742545,0.9991736,0.000147953],"study_design_scores_gemma":[0.0006829433,0.00005649381,0.004005601,0.0001216152,0.0005592759,0.00005726685,0.00001327588,0.0004176323,0.000002027739,0.00002980774,0.9934626,0.0005914524],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000009263439,0.0007073397,0.00001439074,0.00005007843,0.0002980341,0.0007302979,0.9976501,0.0001330197,0.000407447],"genre_scores_gemma":[0.000006749214,0.000526959,0.0001391891,0.0001724121,0.0003353879,0.00002359847,0.9984072,0.0001725139,0.0002159781],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02518417,"threshold_uncertainty_score":0.9997078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06452495875253014,"score_gpt":0.3130590559873587,"score_spread":0.2485340972348286,"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."}}