{"id":"W4387984893","doi":"10.4236/ojss.2023.1310020","title":"Cold-Weather Crop Suitability Modelling","year":2023,"lang":"en","type":"article","venue":"Open Journal of Soil Science","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Environmental science; Elevation (ballistics); Frost (temperature); Drainage; Hydrology (agriculture); Terrain; Soil texture; Soil water; Physical geography; Soil science; Geology; Geography; Mathematics; Meteorology; Cartography; Ecology","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":[0.0003814688,0.0004782503,0.0003046264,0.0008227716,0.0002934951,0.001190887,0.0008555154,0.0004060326,0.007217953],"category_scores_gemma":[0.001041451,0.0003103988,0.0007764624,0.001256859,0.0002275622,0.0004179383,0.0004614039,0.0003501095,0.0014009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001311412,"about_ca_system_score_gemma":0.001270155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1621324,"about_ca_topic_score_gemma":0.1646791,"domain_scores_codex":[0.9997898,0.00003949554,0.00001296044,0.00006441156,0.00003984222,0.00005349855],"domain_scores_gemma":[0.9996965,0.00009554646,0.00003108686,0.00003769044,0.0001121229,0.00002700806],"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":[0.00009885051,0.00003731267,0.03083702,0.0001212972,0.00007621069,0.0001573702,0.0001466718,0.9453835,0.002124927,0.001844408,0.005118981,0.01405352],"study_design_scores_gemma":[0.00002995859,0.00001960895,0.02131117,0.00003319006,0.00002478874,0.00008186252,0.0002134733,0.958911,0.00148581,0.001839754,0.01601354,0.00003589611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7817991,0.0003392434,0.1059749,0.0004497571,0.0001067996,0.0003773737,0.06503753,0.003268491,0.04264679],"genre_scores_gemma":[0.9492405,0.0001869769,0.02336919,0.00004536247,0.00001429437,0.0002036183,0.01921639,0.0003512122,0.007372562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1621324,"threshold_uncertainty_score":0.3223774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05108081148830166,"score_gpt":0.2752536579438828,"score_spread":0.2241728464555812,"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."}}