{"id":"W3099058509","doi":"10.21273/horttech04682-20","title":"Cultural Management Practices for Commercial Tigernut Production in Southern Ontario, Canada","year":2020,"lang":"en","type":"article","venue":"HortTechnology","topic":"Botany, Ecology, and Taxonomy Studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Ministry of Agriculture, Food and Rural Affairs","funders":"","keywords":"Cyperus; Irrigation; Agronomy; Weed control; Yield (engineering); Weed; Growing season; Dry weight; Production (economics); Environmental science; Biology; Geography; Agricultural science; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001541004,0.0001726354,0.000101796,0.0004719799,0.00199431,0.0006387876,0.0005240187,0.00009312773,0.001767006],"category_scores_gemma":[0.0003797784,0.000101737,0.0001152288,0.001005239,0.0003927568,0.0001473276,0.0002620249,0.0001356146,0.000121041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01949351,"about_ca_system_score_gemma":0.01616198,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9541509,"about_ca_topic_score_gemma":0.9952591,"domain_scores_codex":[0.9998717,0.00001132678,0.000004966203,0.00002355819,0.00005026883,0.00003805802],"domain_scores_gemma":[0.9996932,0.00002390274,0.000072541,0.0000105653,0.0000985698,0.0001012189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00062985,0.0003889712,0.706427,0.0004699025,0.00006647141,0.002435957,0.01971071,0.001487204,0.09711888,0.0008518701,0.003748781,0.1666644],"study_design_scores_gemma":[0.000008909008,0.0001270678,0.9839342,0.00002516075,0.00001137666,0.0001006799,0.006254844,0.0003197818,0.0007218754,0.00003577172,0.008450565,0.000009836127],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956565,0.0002085088,0.0001387885,0.000077018,0.000002564117,0.00004034126,0.0001875519,0.00001275656,0.003675939],"genre_scores_gemma":[0.9946457,0.0003541097,0.001153898,0.0000325281,0.000001443268,0.00002214132,0.0002729864,0.000006749149,0.003510542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04584914,"threshold_uncertainty_score":0.1414359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05015171067851049,"score_gpt":0.2327714854545187,"score_spread":0.1826197747760082,"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."}}