{"id":"W2289215560","doi":"10.1614/ws-d-15-00178.1","title":"Spatial Pattern of Weeds Based on Multispecies Infestation Maps Created by Imagery","year":2016,"lang":"en","type":"article","venue":"Weed Science","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Agriculture and Agri-Food Canada","funders":"Natural Resources Conservation Service","keywords":"Weed; Weed control; Spatial distribution; Infestation; Agronomy; Biology; Geography; Remote sensing","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":[0.0003202,0.0002030752,0.0001443732,0.002734119,0.0001619155,0.0002809874,0.0001550054,0.0001056737,0.0007843415],"category_scores_gemma":[0.0005980323,0.0001463858,0.0001876707,0.001273174,0.0001276628,0.0003092973,0.000280715,0.0001051427,0.0001300138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002345235,"about_ca_system_score_gemma":0.0001418347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009222097,"about_ca_topic_score_gemma":0.02777138,"domain_scores_codex":[0.999843,0.00002304747,0.00001145263,0.00005056351,0.00005049056,0.00002138716],"domain_scores_gemma":[0.9996493,0.00009135372,0.0001195316,0.00003025935,0.00007940098,0.00003024772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000640676,0.0001093813,0.6851184,0.0003065142,0.0002067348,0.000338061,0.002679686,0.013247,0.1699864,0.0003330469,0.0006926778,0.1263414],"study_design_scores_gemma":[0.000004030991,0.00004754802,0.9835367,0.00001232817,0.00002709085,0.0001206581,0.0003757073,0.01186511,0.003376195,0.00006996722,0.0005509655,0.00001375319],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934679,0.00006004472,0.004844611,0.000006764657,0.000001407391,0.00002956502,0.0006897788,0.00009243152,0.0008076269],"genre_scores_gemma":[0.9867012,0.00004784456,0.01208507,0.000002854749,0.00000130801,0.00002300382,0.0008539727,0.0000140891,0.0002707476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009222097,"threshold_uncertainty_score":0.01833683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076333968051404,"score_gpt":0.2136993739612268,"score_spread":0.2029360342807128,"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."}}