{"id":"W2157546223","doi":"10.1109/igarss.1989.579012","title":"An Expert System for Using Digital Terrain Models","year":2005,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Terrain; Computer science; Geography; Cartography","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":[0.003108621,0.001482899,0.001052622,0.003287908,0.0007090012,0.002411655,0.002969906,0.001535761,0.07750871],"category_scores_gemma":[0.009106285,0.0008055987,0.0009938291,0.001426936,0.0003350325,0.002791266,0.002429724,0.001574983,0.04152605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008675556,"about_ca_system_score_gemma":0.001831654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003371629,"about_ca_topic_score_gemma":0.004164274,"domain_scores_codex":[0.9982336,0.0003405657,0.000259871,0.0004738634,0.0005905986,0.0001014754],"domain_scores_gemma":[0.9961958,0.00118388,0.0001549688,0.000790087,0.001424633,0.0002506423],"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":[0.0005604951,0.0004495427,0.001674092,0.0008981599,0.0001535754,0.0008675441,0.0005439444,0.0107716,0.01656996,0.01441537,0.3424451,0.6106507],"study_design_scores_gemma":[0.0003740614,0.0001636841,0.001661482,0.0003636598,0.0001786735,0.001007412,0.0003154032,0.2925928,0.02040854,0.01839055,0.6643589,0.000184824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002436217,0.0002008712,0.8028251,0.000589587,0.0002447879,0.001430902,0.008902753,0.1571264,0.02624332],"genre_scores_gemma":[0.04014673,0.0003647228,0.888938,0.0006608095,0.0001105352,0.00183616,0.0204552,0.004642705,0.04284521],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07750871,"threshold_uncertainty_score":0.2592925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02620881594785747,"score_gpt":0.2691164045521799,"score_spread":0.2429075886043224,"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."}}