{"id":"W4238979800","doi":"10.24124/2001/bpgub218","title":"Automated modelling of digital elevation models for predictive ecosystem mapping in GIS","year":2001,"lang":"en","type":"dissertation","venue":"","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Digital elevation model; Elevation (ballistics); Geographic information system; Ecosystem; Cartography; Computer science; Remote sensing; Geography; Ecology; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001479845,0.0001785022,0.0002699747,0.0001288157,0.00004302774,0.00003515758,0.0001262723,0.0001699354,0.00005749297],"category_scores_gemma":[0.00002805345,0.000185249,0.00006126949,0.0002395223,0.00001106405,0.0003105947,0.00002262989,0.00008190559,0.000009976956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001929162,"about_ca_system_score_gemma":0.00002362224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004076403,"about_ca_topic_score_gemma":0.0004734152,"domain_scores_codex":[0.9986892,0.00001042111,0.000499594,0.0003294442,0.000249038,0.0002223564],"domain_scores_gemma":[0.9994389,0.00008334705,0.0002752505,0.0001271673,0.00003710786,0.00003824461],"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":[0.00003301655,0.0000434662,0.0006300434,0.0001746408,0.00002044925,0.000001184675,0.001257242,0.9942841,0.0001119481,0.0005578019,0.0002585897,0.002627551],"study_design_scores_gemma":[0.0002567886,0.00003091006,0.0007209587,0.0002092109,0.00001418367,5.962516e-7,0.001362487,0.9853899,0.00009249888,0.01164306,0.00009887451,0.000180572],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2933079,0.00002079305,0.6399885,0.00000611902,0.0001824587,0.000944202,0.000277147,0.0001323383,0.06514058],"genre_scores_gemma":[0.9890574,0.0000275625,0.005491478,0.00000473195,0.00001753509,0.0001084492,0.00181669,0.00002996635,0.003446207],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6957495,"threshold_uncertainty_score":0.7554235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02685607725156718,"score_gpt":0.2397305091585116,"score_spread":0.2128744319069444,"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."}}