{"id":"W7161991347","doi":"10.82308/22046","title":"Water table management for cranberry production on sandy and peat soils Québec","year":2003,"lang":"en","type":"dissertation","venue":"","topic":"Berry genetics and cultivation research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Peat; Irrigation; Soil water; Water table; Wetland; Irrigation management; Soil management; Hydrology (agriculture); Water content; Available water capacity","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001372773,0.0001101237,0.0000757342,0.0002250781,0.001258695,0.0004651363,0.0004187839,0.0001317204,0.004095298],"category_scores_gemma":[0.0002299757,0.00007714412,0.00006332074,0.000320812,0.0002027927,0.0001469295,0.0001594183,0.000141931,0.0002411167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01220812,"about_ca_system_score_gemma":0.01070978,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9488087,"about_ca_topic_score_gemma":0.9918131,"domain_scores_codex":[0.9999104,0.000009956638,0.000001274179,0.00001485582,0.00002257491,0.00004096733],"domain_scores_gemma":[0.9998032,0.00001340737,0.00001657697,0.000005847535,0.0000772115,0.0000836849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001250634,0.001608164,0.3760008,0.0003748951,0.00006430093,0.002486563,0.009623319,0.01091505,0.123013,0.003915687,0.0476317,0.4231159],"study_design_scores_gemma":[0.00007580189,0.0004417092,0.9372962,0.0000682533,0.00001572713,0.0001052703,0.005639574,0.003787199,0.003849909,0.0001878179,0.04850892,0.00002355246],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860114,0.0002841049,0.0003618772,0.0003469604,0.000006248838,0.0001000373,0.00043994,0.00002714302,0.01242226],"genre_scores_gemma":[0.9726566,0.0004038887,0.001714153,0.00005796747,0.000003268259,0.00004282442,0.0005293358,0.000008004299,0.02458388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05119133,"threshold_uncertainty_score":0.1029856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02611010707636212,"score_gpt":0.259533514653306,"score_spread":0.2334234075769439,"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."}}