{"id":"W4206388521","doi":"10.4095/329397","title":"A selection of earthquake scenarios for government planning purposes in 2021","year":2022,"lang":"en","type":"report","venue":"","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Selection (genetic algorithm); Government (linguistics); Computer science; Business; Construction engineering; Environmental planning; Engineering; Environmental science; Artificial intelligence","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":[0.0005590935,0.000628153,0.0002508314,0.00188065,0.0004840864,0.0009179172,0.0002960438,0.0006818788,0.00785146],"category_scores_gemma":[0.002433951,0.0002040284,0.0005817832,0.001817654,0.0001597831,0.000619257,0.000388109,0.0003887984,0.001357559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008251632,"about_ca_system_score_gemma":0.0006860887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01113885,"about_ca_topic_score_gemma":0.02802204,"domain_scores_codex":[0.999656,0.0001221282,0.00001926092,0.00002823113,0.0001013283,0.00007304799],"domain_scores_gemma":[0.9988354,0.0005852082,0.00008501502,0.00006078937,0.0002891405,0.0001444682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003983889,0.0009276704,0.1216924,0.0009995977,0.0003371917,0.006114508,0.0006621967,0.4767774,0.007051918,0.04219217,0.1866197,0.1526414],"study_design_scores_gemma":[0.0006275139,0.001091837,0.3464151,0.0004874305,0.0003286441,0.002805855,0.007624164,0.4145094,0.01071453,0.03425488,0.1809269,0.0002137722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7351216,0.001116178,0.01020371,0.001865316,0.0001611258,0.0005569856,0.1014531,0.0008777456,0.1486442],"genre_scores_gemma":[0.9315152,0.0009654751,0.00829188,0.0001099947,0.00002154056,0.0002232871,0.0515979,0.00009230169,0.007182367],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01113885,"threshold_uncertainty_score":0.02626574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04154761142787985,"score_gpt":0.2926267819741239,"score_spread":0.2510791705462441,"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."}}