{"id":"W4313459458","doi":"10.2139/ssrn.4311303","title":"About Earthquake Prediction","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Seismology; Earthquake prediction; Geology; 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":[0.001567718,0.0008429716,0.0007276443,0.0008377905,0.0008081225,0.002337724,0.0009290313,0.001820614,0.04010198],"category_scores_gemma":[0.01718094,0.0004057343,0.0005542075,0.001136771,0.001304665,0.008006686,0.001248409,0.003408818,0.007302633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006145159,"about_ca_system_score_gemma":0.0004743811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002273439,"about_ca_topic_score_gemma":0.0009233236,"domain_scores_codex":[0.9992282,0.0002623094,0.00004694816,0.0001854434,0.0002410687,0.00003593555],"domain_scores_gemma":[0.9949383,0.003451371,0.0001574209,0.0007665528,0.0005360037,0.0001504617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002292475,0.00009974612,0.003173457,0.0003197201,0.00009906328,0.0001248065,0.0001883399,0.03065944,0.0005476343,0.4458814,0.2196844,0.2989928],"study_design_scores_gemma":[0.00003173584,0.00003875285,0.0006950051,0.0001198635,0.00003739688,0.00008246108,0.00009529613,0.04443582,0.0006737046,0.843923,0.1098477,0.00001921126],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02959606,0.02418338,0.3643157,0.2310581,0.02306718,0.00009864422,0.003968641,0.002475003,0.3212374],"genre_scores_gemma":[0.6974129,0.02275119,0.07424671,0.01866656,0.03107378,0.0001699962,0.006744434,0.0008882905,0.1480462],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04010198,"threshold_uncertainty_score":0.1341545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01005515748050865,"score_gpt":0.2289806145715956,"score_spread":0.2189254570910869,"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."}}