{"id":"W2964577677","doi":"10.5539/jas.v11n14p175","title":"Growing, Production and Quality of Thornless Cactus Irrigated With Dairies Effluent","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Botanical Research and Applications","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Irrigation; Effluent; Cactus; Productivity; Environmental science; Water quality; Animal science; Crop; Sowing; Agronomy; Toxicology; Horticulture; Biology; Environmental engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0001830181,0.0004253344,0.0003949382,0.0003236753,0.0003184859,0.0003976571,0.0002946721,0.0003073598,0.0008726689],"category_scores_gemma":[0.0002946634,0.0001781872,0.0002982938,0.0002733534,0.000242371,0.0002572433,0.0002567023,0.0005039544,0.0001150245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005493341,"about_ca_system_score_gemma":0.0003766844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004886639,"about_ca_topic_score_gemma":0.009708229,"domain_scores_codex":[0.9998192,0.00001525603,0.00001673805,0.00007497345,0.00005027094,0.000023561],"domain_scores_gemma":[0.9996296,0.00005008738,0.0001187323,0.00002611352,0.00007431994,0.0001011619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006145982,0.0002377803,0.006756655,0.0001440575,0.00002232407,0.0001370034,0.0001750306,0.00008068884,0.9884377,0.00001403672,0.00003324764,0.003346902],"study_design_scores_gemma":[0.00007623358,0.009532197,0.7278472,0.00003030847,0.0001468187,0.000197296,0.0005259386,0.0008115165,0.2586771,0.00004533464,0.00207076,0.0000392674],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995803,0.0001240685,0.0000413369,0.000008550469,0.000003806458,0.000009098951,0.00006628822,0.000005095595,0.0001614713],"genre_scores_gemma":[0.9963695,0.0002486138,0.0006574552,0.00004824513,0.000008372665,0.00002776984,0.0005525311,0.000007833322,0.002079802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004886639,"threshold_uncertainty_score":0.009716392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02803136482591372,"score_gpt":0.2826572347535556,"score_spread":0.2546258699276419,"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."}}