{"id":"W3210118184","doi":"10.5539/sar.v10n4p13","title":"Financial Analysis of Water Management Practices in Cranberry Production in Quebec, Canada","year":2021,"lang":"en","type":"article","venue":"Sustainable Agriculture Research","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; University of Saskatchewan","funders":"","keywords":"Irrigation; Business; Baseline (sea); Agriculture; Irrigation management; Production (economics); Context (archaeology); Agricultural economics; Environmental science; Economics; Geography; Agronomy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0005335405,0.0002448609,0.000204115,0.001253552,0.0009415905,0.001298595,0.001017542,0.0003359253,0.002939465],"category_scores_gemma":[0.00243458,0.0001315761,0.0003563095,0.003115327,0.0005837381,0.0003521254,0.0004736789,0.0004002069,0.0001746164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05263758,"about_ca_system_score_gemma":0.01974394,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959214,"about_ca_topic_score_gemma":0.9970126,"domain_scores_codex":[0.9994463,0.00005865319,0.00002355666,0.00007844309,0.0001960082,0.0001969379],"domain_scores_gemma":[0.9972467,0.0003923998,0.0005348197,0.00006489139,0.001345054,0.0004161016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002020868,0.000143247,0.9704337,0.00007158033,0.0001380733,0.000397868,0.0006116264,0.008424227,0.0009007227,0.001070626,0.003953799,0.01365254],"study_design_scores_gemma":[0.000008416297,0.00004011027,0.9901651,0.00002174956,0.00001870331,0.000029901,0.001412748,0.006036659,0.0001608954,0.00003951478,0.00205073,0.0000154361],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894476,0.0003067898,0.0001901734,0.0003845303,0.000005227252,0.00005673688,0.006159905,0.00001344425,0.003435654],"genre_scores_gemma":[0.9957309,0.0001396526,0.0001676148,0.00004941745,0.000002022127,0.00001864866,0.001884054,0.000003104549,0.002004612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05263758,"threshold_uncertainty_score":0.3819141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03124135313591051,"score_gpt":0.3116483180077155,"score_spread":0.280406964871805,"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."}}