{"id":"W4240531707","doi":"10.1002/essoar.10508285.1","title":"Image-based remote approach of Canola yield modelling with cumulative temporal ground cover for precision agronomy","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Potato Plant Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Canola; Cover (algebra); Yield (engineering); Computer science; World Wide Web; Remote sensing; Geology; Engineering; Agronomy; Biology; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005010191,0.000278229,0.0004749242,0.00002827647,0.0001117796,0.0001739192,0.0004281852,0.000276447,0.0002320366],"category_scores_gemma":[0.00004220284,0.0000961046,0.0002007349,0.0001896334,0.0001017774,0.0001323484,0.0003129425,0.0003942117,0.000002095534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007160604,"about_ca_system_score_gemma":0.0001641722,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01329917,"about_ca_topic_score_gemma":0.0009026689,"domain_scores_codex":[0.9979661,0.0001029055,0.0003475713,0.0007236089,0.0004973679,0.0003625014],"domain_scores_gemma":[0.9982638,0.0008397521,0.000226399,0.0001519019,0.0004045086,0.0001136098],"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":[0.008248077,0.00258576,0.01118008,0.003338937,0.001287119,0.0001035099,0.00163656,0.7009327,0.1668533,0.000917276,0.005369715,0.09754694],"study_design_scores_gemma":[0.0005220321,0.0004896723,0.002309565,0.0006926235,0.00006029541,0.000006928649,0.00057744,0.9767123,0.01554615,0.000990596,0.001375367,0.0007170351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7963349,0.0001110115,0.1966771,0.000177186,0.00003267742,0.001295054,0.0002220086,0.00003832645,0.00511174],"genre_scores_gemma":[0.850838,0.00001619188,0.1462595,0.00003113558,0.00007734129,0.00004516367,0.001480299,0.000002741298,0.00124962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2757795,"threshold_uncertainty_score":0.9932714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09989973594083562,"score_gpt":0.2805826338682967,"score_spread":0.1806828979274611,"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."}}