{"id":"W1510611615","doi":"10.1002/9780470012659.ch10","title":"Addressing Landslide Hazards: Towards a Knowledge Management Perspective","year":2005,"lang":"en","type":"other","venue":"","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"U.S. Geological Survey","keywords":"Landslide; Vulnerability (computing); Hazard; Perspective (graphical); Geologic hazards; Environmental planning; Geography; Environmental resource management; Computer science; Engineering; Environmental science; Computer security; Geotechnical engineering; Ecology; Artificial intelligence; Biology","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":[0.002808586,0.0004169938,0.0003394618,0.002259908,0.001468713,0.01128193,0.001652797,0.002974211,0.02507217],"category_scores_gemma":[0.004120676,0.0001413658,0.0002639274,0.003584287,0.002872768,0.01049213,0.002744557,0.001714553,0.00317039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00354598,"about_ca_system_score_gemma":0.008230736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01637517,"about_ca_topic_score_gemma":0.02379279,"domain_scores_codex":[0.9991409,0.0002998495,0.00005256612,0.00008245902,0.0003190196,0.0001053071],"domain_scores_gemma":[0.9961424,0.001700659,0.0002425075,0.0004182482,0.0009770001,0.0005192833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002019315,0.000189579,0.0009359272,0.0003036044,0.00001252413,0.0002568992,0.001704339,0.001700566,0.0005165446,0.4870665,0.1097439,0.3975494],"study_design_scores_gemma":[0.00001014371,0.00002229739,0.00122367,0.000449675,0.00002219367,0.0002082916,0.005324807,0.004435916,0.001274858,0.2573623,0.7296525,0.00001335046],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00519117,0.003459808,0.04531056,0.05210407,0.000354706,0.00007665078,0.0003072217,0.0003058558,0.8928901],"genre_scores_gemma":[0.2588525,0.0234828,0.1040068,0.01166234,0.001093134,0.0001807184,0.001721656,0.0002732345,0.5987267],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02507217,"threshold_uncertainty_score":0.0838747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01818298620543587,"score_gpt":0.2826697402607756,"score_spread":0.2644867540553397,"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."}}