{"id":"W6903830357","doi":"10.13140/rg.2.2.17580.92806","title":"Irrigation scheduling strategies to reduce the environemntal impact of Ontario's ornamental nureseries -- PREPRINT","year":2018,"lang":"en","type":"article","venue":"","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Preprint; Irrigation scheduling; Scheduling (production processes); Irrigation; Ornamental plant","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002128936,0.00007905607,0.00006945569,0.000006344286,0.0001857529,0.0001384121,0.0001879484,0.00002385138,0.003578314],"category_scores_gemma":[0.00001034909,0.00002216433,0.00006051319,0.0001037205,0.00008322407,0.0003447146,0.0001178969,0.00005365919,0.00007552221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000962965,"about_ca_system_score_gemma":0.00002388882,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06185788,"about_ca_topic_score_gemma":0.05118534,"domain_scores_codex":[0.9993636,0.0000337051,0.0001572658,0.0001570749,0.0001562675,0.0001320878],"domain_scores_gemma":[0.9997398,0.00002908121,0.00008350701,0.00006374499,0.00004251147,0.00004133652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003553862,0.0002283231,0.02380208,0.000006437535,0.0001335766,0.000001281979,0.01005405,0.001593266,0.9073032,0.02011977,0.0009010359,0.03550158],"study_design_scores_gemma":[0.00009238005,0.0009804567,0.9357547,0.00001283379,0.00001293817,0.000003158583,0.00672185,0.0001398,0.04133904,0.003522038,0.01128056,0.0001402324],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796289,0.000003131142,0.00004830323,0.001924748,0.00006344362,0.0002410348,0.000003656932,0.0000193212,0.01806746],"genre_scores_gemma":[0.9980373,9.292871e-7,0.0005251055,0.00009009514,0.0001043372,0.00001129055,0.00001179763,4.537091e-7,0.001218724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9119526,"threshold_uncertainty_score":0.9973326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02684059731883183,"score_gpt":0.2787536131947175,"score_spread":0.2519130158758857,"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."}}