{"id":"W4393753697","doi":"10.5281/zenodo.6448411","title":"Earthquakes worldwide alert","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Disaster Response and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"NoNO (Canada)","funders":"","keywords":"Geography; Computer security; 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":[0.0007292068,0.002202268,0.001417135,0.003925358,0.000750995,0.001640186,0.002184577,0.002221326,0.04296077],"category_scores_gemma":[0.004518518,0.0004672939,0.001230663,0.006866802,0.0003444533,0.001161864,0.001586368,0.00166816,0.05957883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001056585,"about_ca_system_score_gemma":0.002153618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03141679,"about_ca_topic_score_gemma":0.05464992,"domain_scores_codex":[0.999112,0.0001204313,0.0001309763,0.0002586257,0.0002437819,0.0001341196],"domain_scores_gemma":[0.9979759,0.0004176821,0.0002324755,0.0004161033,0.0006967534,0.0002610806],"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":[0.00007486159,0.00002632399,0.001198157,0.0003580199,0.00003311866,0.00003029861,0.0000146319,0.0003675907,0.00009886151,0.000251919,0.9956633,0.00188285],"study_design_scores_gemma":[0.0004429981,0.00005291307,0.0172885,0.0002595454,0.00007703153,0.0001304134,0.0001333876,0.001313351,0.0004139384,0.001074759,0.9787651,0.00004801611],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002081014,0.00004081262,0.00003027336,0.00006133674,0.00002224891,0.000007110353,0.999033,0.0001778562,0.0004193085],"genre_scores_gemma":[0.0003346187,0.00002550832,0.00008488876,0.00002643808,0.000006777007,0.00002174076,0.9991714,0.00001805765,0.0003105896],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04296077,"threshold_uncertainty_score":0.1437181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07736256205293038,"score_gpt":0.3523921730649164,"score_spread":0.275029611011986,"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."}}