{"id":"W4391432888","doi":"10.3390/agronomy14020319","title":"Evaluating the Topographic Factors for Land Suitability Mapping of Specialty Crops in Southern Ontario","year":2024,"lang":"en","type":"article","venue":"Agronomy","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ministry of Agriculture, Food and Rural Affairs; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Geography; Land use; Environmental science; Physical geography; Environmental resource management; Remote sensing; Agroforestry; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003202271,0.0002465965,0.000190849,0.0006716378,0.0008903549,0.0009447685,0.0003870922,0.0001687422,0.001072506],"category_scores_gemma":[0.001849079,0.0001742306,0.0002903152,0.001560039,0.0004043514,0.0002749777,0.0003983409,0.0001530331,0.0001783063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009688216,"about_ca_system_score_gemma":0.008187007,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9765815,"about_ca_topic_score_gemma":0.9923044,"domain_scores_codex":[0.9998224,0.00002173493,0.000008785963,0.00003714151,0.00006131604,0.00004859898],"domain_scores_gemma":[0.9993142,0.0001393164,0.00009011559,0.00004071007,0.0003356756,0.00008008056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001749855,0.00003461567,0.9312219,0.00009549091,0.00006684478,0.0003402959,0.001068234,0.02886887,0.004383846,0.0003921865,0.001347702,0.03200503],"study_design_scores_gemma":[0.000009999435,0.00002479701,0.9402013,0.00002168199,0.00002741522,0.00006481151,0.001552948,0.05502771,0.0005728551,0.0001215969,0.002358936,0.00001585355],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996549,0.00008397779,0.0006177078,0.00004943635,0.000001942592,0.00002593348,0.0009010257,0.00002641924,0.001744638],"genre_scores_gemma":[0.9974298,0.00008192997,0.001021761,0.000005599394,8.79334e-7,0.000008274342,0.0006973126,0.000006594239,0.0007479456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02341855,"threshold_uncertainty_score":0.07029325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04444628360954911,"score_gpt":0.279643201817647,"score_spread":0.2351969182080978,"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."}}