{"id":"W4394035246","doi":"10.5281/zenodo.3900656","title":"Microseismic Catalog for ToC2ME dataset","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Microseism; Geology; Geography; Computer science; Cartography; Seismology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005208947,0.002005395,0.001284336,0.003552995,0.0009515532,0.001721225,0.002633002,0.001530956,0.06304868],"category_scores_gemma":[0.003278879,0.0005106182,0.00082221,0.008129756,0.0003472122,0.001377672,0.001700462,0.001300567,0.09713852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001900817,"about_ca_system_score_gemma":0.003553865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.123832,"about_ca_topic_score_gemma":0.2257946,"domain_scores_codex":[0.9993845,0.00005092162,0.0000607201,0.0001745241,0.0002047184,0.0001245935],"domain_scores_gemma":[0.9983276,0.0001976151,0.000116389,0.0003681666,0.0008044432,0.0001859019],"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":[0.00002102537,0.000006781642,0.000430806,0.0002285457,0.0000114334,0.00001642531,0.00001239217,0.0002046777,0.0001080613,0.0002730244,0.9972198,0.001467025],"study_design_scores_gemma":[0.0001004528,0.000008246016,0.004268588,0.0001347262,0.00001847497,0.00004274717,0.00007721697,0.0007325834,0.0003272921,0.0009216765,0.9933426,0.00002556784],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008286642,0.00003111292,0.00007119843,0.00002240601,0.00001389434,0.000007225329,0.9988568,0.0003814412,0.0005330096],"genre_scores_gemma":[0.0001996181,0.00002474561,0.0002158697,0.00001602363,0.0000044228,0.00003112988,0.9990846,0.00007121277,0.0003522923],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.123832,"threshold_uncertainty_score":0.2462224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04333855975145558,"score_gpt":0.2588883160537204,"score_spread":0.2155497563022648,"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."}}