{"id":"W3060165208","doi":"","title":"VizieR Online Data Catalog: The McGill magnetar catalog (Olausen+, 2014)","year":2014,"lang":"sh","type":"article","venue":"VizieR Online Data Catalog","topic":"Astronomical Observations and Instrumentation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Magnetar; Computer science; World Wide Web; Astronomy; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009381178,0.001412035,0.001357225,0.01108591,0.001229223,0.003044183,0.003316955,0.0009783789,0.2943838],"category_scores_gemma":[0.005247735,0.0006002079,0.0005357711,0.01619327,0.0003384439,0.002801396,0.00270617,0.001138394,0.307971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002289055,"about_ca_system_score_gemma":0.005393314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.101731,"about_ca_topic_score_gemma":0.1375881,"domain_scores_codex":[0.9990054,0.0000480015,0.00008545449,0.0001746533,0.000426114,0.0002603866],"domain_scores_gemma":[0.9955434,0.0003082621,0.0004561847,0.001070736,0.001964903,0.0006564992],"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":[0.00002108443,0.000005100033,0.0003675444,0.00006354753,0.000003233865,0.000005034808,0.000007721404,0.00002143377,0.00008752356,0.0003964244,0.9934192,0.005602069],"study_design_scores_gemma":[0.00003826953,0.000006614302,0.003746127,0.00004776288,0.00001051838,0.00001573535,0.00002087153,0.00009235433,0.0002557313,0.0006389137,0.9951101,0.00001707968],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003972943,0.0002285177,0.000424602,0.0001892791,0.0001002711,0.00004452376,0.9700515,0.002971604,0.02559239],"genre_scores_gemma":[0.002052927,0.0002544038,0.001701167,0.0002772018,0.0001404363,0.0000889435,0.967544,0.001917746,0.0260232],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2943838,"threshold_uncertainty_score":0.984812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05566490233957278,"score_gpt":0.281047595320875,"score_spread":0.2253826929813023,"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."}}