{"id":"W6903427557","doi":"10.1139/cjss10080","title":"Extracting topographic characteristics of landforms typical of Canadian agricultural landscapes for agri-environmental modeling. I. Methodology","year":2011,"lang":"en","type":"article","venue":"BioOne Complete (BioOne)","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Landform; Digital elevation model; Soil map; Topographic map (neuroanatomy); Elevation (ballistics); Field (mathematics); Terrain; Digital soil mapping","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.0005752894,0.0009638343,0.000462941,0.006143872,0.00121793,0.0015949,0.001247096,0.0003287435,0.002402507],"category_scores_gemma":[0.001677782,0.000528536,0.0008535233,0.006453625,0.0004638158,0.0004610878,0.001064438,0.0005340913,0.0005907288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004554094,"about_ca_system_score_gemma":0.009377234,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5918894,"about_ca_topic_score_gemma":0.7759572,"domain_scores_codex":[0.9994729,0.00003737949,0.00005358779,0.00008943278,0.0002741632,0.00007250074],"domain_scores_gemma":[0.9993616,0.00005906481,0.00008219315,0.00006980806,0.0003870349,0.00004026787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008431374,0.0002140875,0.09458753,0.0008855395,0.0002036519,0.0006655664,0.001177672,0.1010082,0.04022494,0.005677748,0.01350627,0.7417644],"study_design_scores_gemma":[0.00008607784,0.0001504565,0.4391642,0.0002993307,0.0002805622,0.0009107513,0.003406892,0.414778,0.04089916,0.006739853,0.09285071,0.0004340491],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1725383,0.0008098576,0.766274,0.0003207336,0.00005493694,0.006208349,0.03538981,0.004448945,0.013955],"genre_scores_gemma":[0.2015105,0.0007007731,0.7735448,0.00004887734,0.00001034876,0.001577981,0.01899699,0.0002310299,0.00337867],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4081106,"threshold_uncertainty_score":0.8210281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4046214433144436,"score_gpt":0.2445422006008865,"score_spread":0.1600792427135571,"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."}}