{"id":"W4393559332","doi":"10.5281/zenodo.7033117","title":"Source model inputs and results - The July 2022 Mw 7.0 Northwestern Luzon Earthquake, Philippines","year":2022,"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":"Geological Survey of Canada","funders":"","keywords":"Seismology; Geology; Source model; Geography; 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","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001400652,0.0003299058,0.0003035527,0.0003064197,0.00561325,0.001004148,0.003345197,0.0001425916,0.003204281],"category_scores_gemma":[0.0005427323,0.0002849611,0.00008243167,0.0007162604,0.0003882047,0.0003215208,0.007920844,0.001021158,0.00168342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000604295,"about_ca_system_score_gemma":0.00001330751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008180626,"about_ca_topic_score_gemma":0.000009998023,"domain_scores_codex":[0.9966574,0.0007284781,0.0004711414,0.000956353,0.0006498552,0.0005367277],"domain_scores_gemma":[0.9976558,0.0001107556,0.0003030179,0.001474586,0.0003046326,0.0001512177],"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":[0.00005171114,0.00006334431,3.83662e-7,0.00004322683,0.00007046773,0.00002310891,0.001226788,0.0006563443,0.000004072376,0.000138008,0.961387,0.03633558],"study_design_scores_gemma":[0.0004518798,0.0002545896,0.0001346379,0.00001868903,0.00002732721,0.0002332206,0.00007339702,0.001893419,0.000003524584,0.0001539034,0.9964541,0.0003013744],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000968412,0.001057435,0.008169567,0.007553313,0.0006311418,0.0009424068,0.974727,0.001077599,0.004873098],"genre_scores_gemma":[0.003496708,0.001969743,0.0001807471,0.002316254,0.0003243704,5.421433e-7,0.9873174,0.0007775036,0.00361666],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03603421,"threshold_uncertainty_score":0.9999602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03145445634646276,"score_gpt":0.2327394172915996,"score_spread":0.2012849609451368,"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."}}