{"id":"W2556372942","doi":"10.1115/ipc2016-64515","title":"The Cheecham Landslide Event","year":2016,"lang":"en","type":"article","venue":"Volume 3: Operations, Monitoring and Maintenance; Materials and Joining","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BGC Engineering (Canada)","funders":"","keywords":"Landslide; Geohazard; Geology; Pipeline transport; Pipeline (software); Mining engineering; Seismology; Geotechnical engineering; Geomorphology; Environmental science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002556459,0.0002949796,0.0001677472,0.000550582,0.002991281,0.001050069,0.0006397658,0.001737177,0.007539641],"category_scores_gemma":[0.001107797,0.0001022812,0.0001242136,0.000551437,0.0008940907,0.0004024035,0.001421731,0.001640165,0.0008478109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002841927,"about_ca_system_score_gemma":0.00250512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1425645,"about_ca_topic_score_gemma":0.3413206,"domain_scores_codex":[0.9996934,0.00001390673,0.000005261462,0.00003325131,0.000168646,0.00008565977],"domain_scores_gemma":[0.9996656,0.0000356662,0.00002330674,0.00003044295,0.0001654174,0.00007950047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001585825,0.000613927,0.2332881,0.0003704907,0.0001723514,0.06819393,0.007565113,0.004626493,0.05503606,0.01478736,0.2025853,0.411175],"study_design_scores_gemma":[0.0001825171,0.0007943897,0.5828193,0.0002102541,0.0000523222,0.0083703,0.00884359,0.00596835,0.01660617,0.002814381,0.3732267,0.0001117445],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8494408,0.000825559,0.001160757,0.006881191,0.0007216142,0.0003071223,0.001134974,0.0004603507,0.1390678],"genre_scores_gemma":[0.9558349,0.0004782146,0.001329991,0.00121752,0.0001547625,0.00007802776,0.00063514,0.00003134604,0.0402401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1425645,"threshold_uncertainty_score":0.2834694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0066397393180313,"score_gpt":0.2149434740318726,"score_spread":0.2083037347138413,"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."}}