{"id":"W3197893536","doi":"10.1002/essoar.10507749.1","title":"Landscape complexity effects on crop productivity: an assessment from space","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Preprint; Productivity; World Wide Web; Crop; Space (punctuation); Computer science; Geography; Forestry; Operating system","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002597054,0.0002500947,0.0002152546,0.001087615,0.0003730585,0.0009714456,0.0003296128,0.0002081634,0.001368555],"category_scores_gemma":[0.001001766,0.0001256264,0.0003816369,0.002204927,0.0004530998,0.0003268403,0.0006295206,0.0001223679,0.0001320322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002398056,"about_ca_system_score_gemma":0.0008641087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3516149,"about_ca_topic_score_gemma":0.5940997,"domain_scores_codex":[0.9997728,0.00003261139,0.000007154711,0.00004036173,0.00009211426,0.00005489939],"domain_scores_gemma":[0.9992548,0.0001817059,0.0001729929,0.00006001978,0.0001748656,0.0001556814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002859221,0.00006551726,0.9729404,0.00003988896,0.0002266367,0.0001924257,0.0004298295,0.008865419,0.003273818,0.0001876855,0.0001961405,0.01329626],"study_design_scores_gemma":[0.000001969756,0.00002477368,0.9973877,0.000002336241,0.00001405806,0.00002449844,0.0001846788,0.001996638,0.00009423688,0.0000322323,0.0002330166,0.000003938996],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987622,0.0001036059,0.0001731056,0.000009353532,8.283274e-7,0.000004601795,0.0003405627,0.000005747012,0.0005998936],"genre_scores_gemma":[0.9990747,0.00006224099,0.0001849122,0.000003543976,0.000001197613,0.000002318905,0.0004800094,0.000002838909,0.0001881644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3516149,"threshold_uncertainty_score":0.6991366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02401761932255319,"score_gpt":0.2810589606685694,"score_spread":0.2570413413460162,"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."}}