{"id":"W7127181780","doi":"10.18357/wg2620243","title":"Mapping Hazardous Terrain for Search and Rescue Pre-Planning","year":2024,"lang":"","type":"article","venue":"Western Geography","topic":"Automated Road and Building Extraction","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of the Fraser Valley","funders":"","keywords":"Terrain; Elevation (ballistics); Hazardous waste; Mainland; Ridge; Digital elevation model; Watershed; Population","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":[0.0001566876,0.0005019052,0.0002285635,0.001659006,0.0007991479,0.001865603,0.0005285665,0.0003742649,0.005598344],"category_scores_gemma":[0.0005918482,0.0002925673,0.0002362847,0.001137891,0.000323737,0.0006892991,0.0009676459,0.0003539682,0.001285257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00068395,"about_ca_system_score_gemma":0.002120413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07984799,"about_ca_topic_score_gemma":0.2526036,"domain_scores_codex":[0.999806,0.00002888555,0.000006797926,0.00002311247,0.00008706716,0.00004816167],"domain_scores_gemma":[0.9998015,0.00003779944,0.00002216854,0.00003738536,0.00008067202,0.0000205599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001718858,0.0002140361,0.07243482,0.0005789737,0.00006899967,0.001804566,0.002445117,0.1420375,0.05249136,0.007089713,0.01717255,0.7034904],"study_design_scores_gemma":[0.00004502063,0.0002894173,0.2363029,0.0005556181,0.0001313178,0.001459041,0.02095194,0.5532333,0.03153347,0.01173351,0.1435849,0.0001795672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5190104,0.001195791,0.3734938,0.001454949,0.00009730997,0.001104945,0.00692125,0.004610292,0.09211123],"genre_scores_gemma":[0.8307734,0.000976641,0.1555437,0.00007260431,0.00001209027,0.0001564857,0.003530838,0.0001809177,0.008753485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07984799,"threshold_uncertainty_score":0.1587664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548153507767362,"score_gpt":0.2773758897812684,"score_spread":0.2618943547035947,"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."}}