{"id":"W2124251271","doi":"","title":"Gully mapping using remote sensing: Case study in KwaZulu-Natal, South Africa","year":2009,"lang":"en","type":"article","venue":"UWSpace (University of Waterloo)","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Waterloo","keywords":"Geography; Remote sensing; Cartography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003182309,0.0003908249,0.0002116071,0.0009104168,0.001132379,0.0006864677,0.0004902299,0.000524983,0.0009508845],"category_scores_gemma":[0.001185893,0.0001839504,0.0001624775,0.001844067,0.0005682592,0.0006493491,0.0005370268,0.0002453203,0.000126385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001514626,"about_ca_system_score_gemma":0.0006344604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1015537,"about_ca_topic_score_gemma":0.21375,"domain_scores_codex":[0.9997489,0.00009396598,0.00001323449,0.00002939023,0.0000412917,0.00007332295],"domain_scores_gemma":[0.9996532,0.0001455649,0.00007539978,0.00001899534,0.0000596813,0.00004707925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001113588,0.002079157,0.4412512,0.002750133,0.0001986417,0.185526,0.1011909,0.021094,0.04246731,0.009065376,0.004694138,0.1885695],"study_design_scores_gemma":[0.0001080068,0.0008423505,0.7428378,0.000475488,0.0001267128,0.009247415,0.1989245,0.02106279,0.005902162,0.0011468,0.01923179,0.00009417936],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971159,0.0001293471,0.0003037864,0.0001364225,0.000002541229,0.00008361882,0.00007281687,0.000006222981,0.00214941],"genre_scores_gemma":[0.9972923,0.0003434108,0.001202758,0.00002631087,0.00000288518,0.00003574662,0.00006473599,0.000003822658,0.001028004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1015537,"threshold_uncertainty_score":0.2019253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02647372815311146,"score_gpt":0.2158116234570707,"score_spread":0.1893378953039592,"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."}}