{"id":"W2082597751","doi":"10.1007/s00267-003-0270-4","title":"Identification of Land-Cover Changes Through Image Processing and Associated Impacts on Water Reservoir Conditions","year":2005,"lang":"en","type":"article","venue":"Environmental Management","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Urbanization; Land cover; Watershed; Land use; Water quality; Geography; Orthophoto; Water resource management; Identification (biology); Remote sensing; Environmental science; Hydrology (agriculture); Environmental resource management; Geology","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":[0.0001766252,0.0002188885,0.0001671377,0.001029561,0.0001549794,0.0005134617,0.0001139069,0.0002407009,0.001033845],"category_scores_gemma":[0.0005398786,0.000100162,0.0001596351,0.0005872927,0.0001400332,0.0004499538,0.0001292136,0.0001752947,0.0002531313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001811008,"about_ca_system_score_gemma":0.0002324726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004897517,"about_ca_topic_score_gemma":0.01231945,"domain_scores_codex":[0.9999263,0.000009753149,0.000004273838,0.00001523293,0.00002989637,0.00001444112],"domain_scores_gemma":[0.9998201,0.00004537938,0.00004143725,0.00001165047,0.00006585342,0.00001549945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00053239,0.000558402,0.3604774,0.0001927757,0.0001396872,0.0004061799,0.0002801702,0.01861875,0.3051985,0.0006493937,0.001579842,0.3113666],"study_design_scores_gemma":[0.00001435384,0.00009811735,0.831165,0.0000120905,0.00009891472,0.0001914638,0.000199611,0.1125779,0.0539392,0.0002912195,0.001389454,0.00002267261],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813451,0.00009366505,0.01387302,0.00007985653,0.00001291403,0.00005101531,0.0005162634,0.0001752383,0.003853028],"genre_scores_gemma":[0.987103,0.0001418151,0.01098689,0.00003024381,0.00001439672,0.00001739949,0.0004239244,0.00002518809,0.001257234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004897517,"threshold_uncertainty_score":0.009737968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01038254963582322,"score_gpt":0.2251600122258101,"score_spread":0.2147774625899869,"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."}}