{"id":"W2991983907","doi":"","title":"Precursor slope distress leading up to the 2010 Mount Meager landslide, British Columbia","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mount; Landslide; Geology; Distress; Geomorphology; Medicine; Computer science","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":[0.0001942715,0.0002551752,0.0002329725,0.001032389,0.005018263,0.00222653,0.0005779581,0.001162971,0.01185851],"category_scores_gemma":[0.001478243,0.0002385121,0.0001447982,0.001274104,0.0005963544,0.0005328036,0.001931091,0.001965297,0.001039534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01430118,"about_ca_system_score_gemma":0.02761799,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9523744,"about_ca_topic_score_gemma":0.9931906,"domain_scores_codex":[0.9996679,0.000009881959,0.000007944514,0.00002310681,0.0001027367,0.0001883794],"domain_scores_gemma":[0.9990982,0.00001947302,0.00004803609,0.00001673718,0.0006098006,0.000207846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004992235,0.0002583175,0.6285743,0.0003085291,0.00007683243,0.006179259,0.01139041,0.002298872,0.004640755,0.005669605,0.2325722,0.1075316],"study_design_scores_gemma":[0.00001223879,0.00004127399,0.8941587,0.0002542629,0.00002322953,0.0002219163,0.02140008,0.000628041,0.0004884108,0.0004149186,0.08232959,0.00002737447],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8488462,0.000901533,0.0001953496,0.009369928,0.0003795002,0.0001450436,0.005015703,0.0001128589,0.1350338],"genre_scores_gemma":[0.9384135,0.001049335,0.0001969919,0.0008912329,0.00003871568,0.00005526995,0.002178314,0.00003259397,0.05714409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0476256,"threshold_uncertainty_score":0.1037628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01930319448627952,"score_gpt":0.2497440402742395,"score_spread":0.23044084578796,"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."}}