{"id":"W3215274613","doi":"10.3390/ijgi10120801","title":"Estimation of Agricultural Dykelands Cultivated in Nova Scotia Using Land Property Boundaries and Crop Inventory","year":2021,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Dalhousie University","keywords":"Nova scotia; Hectare; Agriculture; Crop; Forage; Geography; Agricultural land; Land use; Crop yield; Environmental science; Agricultural science; Agroforestry; Forestry; Agronomy; Biology; Ecology","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":[0.0002592395,0.0003148603,0.0001668073,0.001840289,0.0004970427,0.0007556292,0.0003378939,0.0001279669,0.001554051],"category_scores_gemma":[0.0008748206,0.0001773328,0.000224173,0.001994177,0.000319555,0.0002649637,0.0006392944,0.0001778075,0.000320243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004445034,"about_ca_system_score_gemma":0.004449446,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9223227,"about_ca_topic_score_gemma":0.9637055,"domain_scores_codex":[0.9997963,0.00001451449,0.00001744831,0.00004410581,0.00006419623,0.00006345286],"domain_scores_gemma":[0.999222,0.00007911048,0.0001955756,0.00003879131,0.0003364475,0.0001280006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005323669,0.00001830063,0.9834796,0.0001249415,0.00004046157,0.0005187416,0.0007542422,0.001682671,0.001265867,0.0002513427,0.00150488,0.01030583],"study_design_scores_gemma":[0.000002814134,0.000009032244,0.9929575,0.00006345061,0.00001334766,0.0000886929,0.001979644,0.001455635,0.0001640772,0.00002874709,0.00323047,0.00000665895],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822824,0.0004450614,0.0004269988,0.00006999638,0.000009083945,0.00006312523,0.01143609,0.00001828057,0.005248858],"genre_scores_gemma":[0.9907987,0.0004429412,0.0009522839,0.00002497388,0.000002621298,0.00003537507,0.005605189,0.000006789591,0.002131158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07767731,"threshold_uncertainty_score":0.1562695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009657700523526498,"score_gpt":0.240662698277797,"score_spread":0.2310049977542705,"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."}}