{"id":"W4386418925","doi":"10.1002/agg2.20418","title":"Climate and management factors influence saffron yield in different environments","year":2023,"lang":"en","type":"article","venue":"Agrosystems Geosciences & Environment","topic":"Saffron Plant Research Studies","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Crocus sativus; Irrigation; Yield (engineering); Soil water; Agronomy; Environmental science; Field experiment; Animal science; Biology; Botany; Soil science","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":[0.000270124,0.0002305742,0.0002486069,0.0005017751,0.0002905659,0.0002868087,0.0001469844,0.0001456037,0.0007970048],"category_scores_gemma":[0.0003972993,0.00009316725,0.000302039,0.0003643762,0.0002148562,0.0002564579,0.0002384489,0.0001474095,0.000104556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004063801,"about_ca_system_score_gemma":0.0001294664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004604215,"about_ca_topic_score_gemma":0.008908983,"domain_scores_codex":[0.9998848,0.00002881047,0.000008959792,0.00003208013,0.00001804802,0.00002733191],"domain_scores_gemma":[0.9994959,0.0001300052,0.000177346,0.00002051958,0.00007964252,0.00009667933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006117065,0.0001429987,0.8728926,0.00004736524,0.0001215651,0.0003430602,0.0003629391,0.0004400719,0.1181644,0.00004984617,0.00008830344,0.006735015],"study_design_scores_gemma":[0.000001445006,0.00004918722,0.9990577,0.000001001327,0.000006400657,0.00002442647,0.00008648869,0.0001825896,0.00053563,0.000007638349,0.0000457771,0.000001868122],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999783,0.00002275046,0.00005005213,0.000003304052,7.674589e-7,0.000001653472,0.00004590952,0.000001913661,0.0000906985],"genre_scores_gemma":[0.9996122,0.00001916284,0.0000819641,0.000006288174,0.000001664406,0.000002305557,0.0001628607,0.000002283576,0.0001112507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004604215,"threshold_uncertainty_score":0.009154856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02589665170060319,"score_gpt":0.260413716897152,"score_spread":0.2345170651965489,"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."}}