{"id":"W4393910997","doi":"","title":"Canada's Distant Early Warning Lin","year":2022,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Warning system; Computer science; Computer security; Geography; History; Telecommunications","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":[0.0005176604,0.0003614355,0.0001868203,0.001020984,0.00752002,0.003837502,0.0007990119,0.001278911,0.03745797],"category_scores_gemma":[0.001960606,0.0002515432,0.0002545723,0.001220075,0.00109815,0.0006961039,0.001359324,0.00178913,0.003667916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03089752,"about_ca_system_score_gemma":0.1338989,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9920847,"about_ca_topic_score_gemma":0.9975302,"domain_scores_codex":[0.9990808,0.0000300576,0.0000144485,0.00007983343,0.0005078969,0.0002870531],"domain_scores_gemma":[0.997453,0.0001089121,0.00005344997,0.00006868448,0.001366911,0.0009489579],"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":[0.0001149099,0.00004741013,0.02079334,0.0001831247,0.00001783334,0.0008098133,0.001343309,0.0007689291,0.001303894,0.06375691,0.7834305,0.1274301],"study_design_scores_gemma":[0.00001445798,0.00001210921,0.01588578,0.00007589335,0.00000967906,0.0001036131,0.001078628,0.0003725542,0.0003773679,0.001086885,0.9809528,0.0000302579],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03420412,0.003713504,0.002494898,0.07561366,0.002202136,0.0001423485,0.0125264,0.0007675154,0.8683354],"genre_scores_gemma":[0.1988206,0.002931096,0.003713644,0.01493365,0.0001821038,0.00003901728,0.002638083,0.0002100101,0.7765318],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03745797,"threshold_uncertainty_score":0.2241783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1702905556521163,"score_gpt":0.4847183281783785,"score_spread":0.3144277725262622,"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."}}