{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005715739,0.0002975488,0.0004183232,0.0003404797,0.0002018966,0.0000438764,0.0002079589,0.00007076436,0.00003888945],"category_scores_gemma":[0.00003224798,0.0002071235,0.00005670249,0.0002821007,0.0003191692,0.0001568566,0.0005949001,0.0001671814,0.0002404116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002359098,"about_ca_system_score_gemma":0.000006541052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000264461,"about_ca_topic_score_gemma":0.00005740056,"domain_scores_codex":[0.9968818,0.00006444502,0.0004175299,0.0007332259,0.001058286,0.0008447219],"domain_scores_gemma":[0.9991275,0.0001556525,0.00009492246,0.0003860689,0.000002431675,0.0002334421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003344802,0.0001588635,0.9811228,0.0002831556,0.00003851458,0.0002073415,0.0006770302,0.0001373621,0.01536047,0.0001351191,0.0001820436,0.001663837],"study_design_scores_gemma":[0.0005136186,0.0002219012,0.9902645,0.000310074,0.00002561389,0.00001267796,0.00172822,0.0004350487,0.0009986596,0.00002100394,0.005259235,0.0002094828],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997305,0.0003727934,0.00001865974,0.000584707,0.0001357118,0.001071298,0.00002968189,0.00005671577,0.0004254007],"genre_scores_gemma":[0.9871431,0.01107008,0.00003946884,0.00006871128,0.00002860896,0.0001876817,0.00002661402,0.00001452296,0.001421209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01436181,"threshold_uncertainty_score":0.8446253,"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."}}