{"id":"W6941231854","doi":"10.13140/rg.2.2.19632.33289","title":"Earthquake Magnitude, Earthquake Intensity: Preparing for Natural Resources Canada Earthquake Early Warning System GACMAC 2023, Sudbury","year":2023,"lang":"en","type":"article","venue":"","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Natural disaster; Earthquake casualty estimation; Urban seismic risk; Natural (archaeology); Earthquake warning system; Warning system","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":[0.001084259,0.0005020775,0.0002999241,0.001111843,0.002312317,0.001859214,0.001018284,0.001005895,0.03122006],"category_scores_gemma":[0.003816223,0.0003701235,0.0002845839,0.001414615,0.0002367032,0.0005504676,0.0009423743,0.001577424,0.005224711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01140402,"about_ca_system_score_gemma":0.04625317,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.947384,"about_ca_topic_score_gemma":0.9853991,"domain_scores_codex":[0.9995013,0.00003753395,0.00003524744,0.00003305971,0.0002413448,0.0001513443],"domain_scores_gemma":[0.9937978,0.0001398617,0.0002923442,0.00005218937,0.004408111,0.001309501],"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":[0.0002326308,0.00009410891,0.06699762,0.0001574859,0.00001896593,0.0001666621,0.000222334,0.000958173,0.0006696198,0.0003597107,0.8809223,0.04920043],"study_design_scores_gemma":[0.0002063877,0.0001269221,0.6864365,0.000361123,0.0000357864,0.00008867081,0.002721782,0.001877325,0.000629876,0.0002623386,0.307184,0.00006935257],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.184676,0.007011902,0.005312467,0.1389059,0.01400016,0.005564312,0.4275288,0.001773353,0.2152272],"genre_scores_gemma":[0.3922842,0.00867568,0.01970585,0.01483082,0.002522622,0.002352061,0.1515461,0.0004836012,0.4075992],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.052616,"threshold_uncertainty_score":0.1058517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01214069621146196,"score_gpt":0.2033247131297715,"score_spread":0.1911840169183096,"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."}}