{"id":"W2025779500","doi":"10.4141/cjss07066","title":"SimPLE.ca: Simulator of productivity loss due to erosion for Canada","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Soil Science","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Topsoil; Environmental science; Erosion; Productivity; Soil loss; Soil science; Agricultural engineering; Nutrient; Agronomy; Crop yield; WEPP; Crop productivity; Hydrology (agriculture); Soil water; Agriculture; Crop; Soil conservation; Geology; Ecology; Engineering; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.000309726,0.000854339,0.000524201,0.0004527358,0.000905321,0.0008570452,0.002328039,0.0007484336,0.01602889],"category_scores_gemma":[0.001101428,0.000460533,0.0005900647,0.0007340837,0.0003972828,0.0005691113,0.0004938586,0.0008569497,0.001698388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00866136,"about_ca_system_score_gemma":0.01142964,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9151952,"about_ca_topic_score_gemma":0.8740848,"domain_scores_codex":[0.999874,0.00001228369,0.000007223567,0.0000193832,0.00005599393,0.00003099864],"domain_scores_gemma":[0.999491,0.00008254568,0.00004027112,0.00003023918,0.0003053525,0.00005062111],"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":[0.0001899151,0.00006227655,0.008608877,0.000146437,0.00006162971,0.00008945717,0.00009363746,0.9288956,0.00188916,0.007278122,0.03581328,0.01687162],"study_design_scores_gemma":[0.000088742,0.00001940679,0.001612459,0.00001543922,0.00002003786,0.0000283604,0.00002279105,0.9778394,0.0005698556,0.0009274596,0.01883152,0.00002463186],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3264672,0.001723804,0.2933346,0.002299684,0.0005031347,0.001100059,0.1643994,0.04475809,0.165414],"genre_scores_gemma":[0.8317751,0.001166309,0.09500981,0.0002299778,0.00002800717,0.0005655994,0.02552777,0.002057211,0.04364028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08480477,"threshold_uncertainty_score":0.1706083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02351794369473418,"score_gpt":0.2143721406848438,"score_spread":0.1908541969901097,"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."}}