{"id":"W2006818562","doi":"10.1007/s11069-006-9061-6","title":"Landslide hazard mapping using logistic regression model in Mackenzie Valley, Canada","year":2007,"lang":"en","type":"article","venue":"Natural Hazards","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":129,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Resources Canada","keywords":"Landslide; Logistic regression; Geology; Hazard map; Hazard; Natural hazard; Bedrock; Geographic information system; Elevation (ballistics); Physical geography; Cartography; Geomorphology; Geography; Remote sensing; Statistics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005529287,0.0002579917,0.0002701129,0.0000855734,0.0001826974,0.00003123927,0.0003147741,0.0002189902,0.0002225214],"category_scores_gemma":[0.00005967846,0.0001845102,0.00007641481,0.0004424436,0.00008981037,0.0001713153,0.0002417443,0.0006226694,0.00003034863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001285137,"about_ca_system_score_gemma":0.0001815959,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1876329,"about_ca_topic_score_gemma":0.527649,"domain_scores_codex":[0.9977496,0.00003387303,0.0004082917,0.0004255942,0.0006717276,0.0007109512],"domain_scores_gemma":[0.9993527,0.00005689064,0.0001155903,0.0002733504,0.00001813335,0.0001833541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007992709,0.0002584266,0.2745045,0.0001582474,0.0001417153,0.003231961,0.001576891,0.4949996,0.04938984,0.0003837176,0.03299481,0.141561],"study_design_scores_gemma":[0.001738053,0.00003746667,0.07410362,0.0003069293,0.00004157044,0.0001511743,0.0002614548,0.9052704,0.00254077,0.001069027,0.01351827,0.0009612811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902819,0.0004492365,0.002100469,0.0002538441,0.000688793,0.000187596,0.00001440789,0.00005153222,0.005972188],"genre_scores_gemma":[0.9924656,0.00003980525,0.005892424,0.0004127612,0.00008011875,0.000001885144,0.00002816467,0.00002555568,0.001053655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4102708,"threshold_uncertainty_score":0.8177767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02162985840474245,"score_gpt":0.2636397613525266,"score_spread":0.2420099029477842,"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."}}