{"id":"W4393892895","doi":"10.5281/zenodo.7033116","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005308947,0.001408464,0.00078879,0.001304942,0.0005452044,0.001302247,0.002857898,0.00114937,0.0958372],"category_scores_gemma":[0.00268985,0.0006160784,0.0007677191,0.002127208,0.0001979444,0.0009278865,0.0009662869,0.001029522,0.04586195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001647712,"about_ca_system_score_gemma":0.001434572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05042918,"about_ca_topic_score_gemma":0.0363133,"domain_scores_codex":[0.9997094,0.00003606161,0.00002465846,0.00004811781,0.0001401195,0.00004157984],"domain_scores_gemma":[0.9990451,0.0001496387,0.00006952244,0.0001620908,0.0004976807,0.00007587051],"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":[0.0003432055,0.0001565658,0.007160217,0.001111061,0.0001658766,0.0003464777,0.0001820508,0.1229013,0.002326214,0.001889336,0.8436691,0.01974875],"study_design_scores_gemma":[0.001193393,0.0001714975,0.0274967,0.0004735477,0.0002111176,0.0002943472,0.0003989328,0.2467423,0.01433269,0.006093613,0.7023184,0.000273326],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009665783,0.00008976887,0.004715828,0.000348354,0.0001443537,0.0001307365,0.9445834,0.02374598,0.01657577],"genre_scores_gemma":[0.05863865,0.0001811386,0.01055098,0.0002021572,0.00006580514,0.0005570562,0.903667,0.01315138,0.0129859],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0958372,"threshold_uncertainty_score":0.3206074,"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."}}