{"id":"W2603612682","doi":"","title":"Temblor, an app focused on your seismic risk and how to reduce it","year":2015,"lang":"en","type":"article","venue":"2015 AGU Fall Meeting","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Tembec","funders":"","keywords":"Geology; Risk analysis (engineering); Forensic engineering; Computer science; Engineering; Business","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":[0.0003660268,0.001149912,0.0003806387,0.0008320292,0.0004407579,0.001115721,0.0006932658,0.001532047,0.09077137],"category_scores_gemma":[0.00540059,0.0003050236,0.0003790514,0.0002157862,0.0001314148,0.002097157,0.001434285,0.0008574533,0.02698649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000131148,"about_ca_system_score_gemma":0.0004139555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008173317,"about_ca_topic_score_gemma":0.003237776,"domain_scores_codex":[0.9998161,0.00003413434,0.00001925809,0.00001969949,0.00008504276,0.0000256796],"domain_scores_gemma":[0.998252,0.0009112668,0.0001441719,0.00009009461,0.0003446934,0.0002576174],"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":[0.0004996346,0.0003253656,0.003721155,0.0009244933,0.00003515279,0.0006848128,0.000702391,0.0002310814,0.002591799,0.0009017672,0.7549725,0.2344099],"study_design_scores_gemma":[0.0003728258,0.0007980859,0.01858,0.001984039,0.0002890995,0.003482191,0.002320623,0.006192133,0.005036369,0.008805312,0.9518866,0.0002527144],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"software","genre_scores_codex":[0.1035344,0.01138081,0.115957,0.03688145,0.007145066,0.001951635,0.02334423,0.1943827,0.5054228],"genre_scores_gemma":[0.263505,0.008767578,0.1774482,0.03811463,0.004213805,0.001863173,0.01493473,0.01157006,0.4795828],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.09077137,"threshold_uncertainty_score":0.3036605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05219631158167213,"score_gpt":0.2836936358252449,"score_spread":0.2314973242435727,"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."}}