{"id":"W6889712363","doi":"10.25946/14274524.v1","title":"Offstream watering points for cattle as a method for riparian restoration","year":2021,"lang":"en","type":"dissertation","venue":"Figshare","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Riparian zone; Grazing; Agriculture; Wetland; Habitat; Ecosystem; Ecosystem services; Land use; Floodplain; Aquatic ecosystem","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":[0.0009530844,0.0004186023,0.0004021222,0.001158157,0.001196382,0.000925821,0.001314861,0.0004479098,0.006742042],"category_scores_gemma":[0.00159402,0.0001993739,0.0005788617,0.0007401825,0.0006914625,0.0008103162,0.001252048,0.0007211136,0.0009133801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007739146,"about_ca_system_score_gemma":0.00208119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01352927,"about_ca_topic_score_gemma":0.0562472,"domain_scores_codex":[0.9991899,0.0002100111,0.00003737358,0.000107913,0.0003097133,0.0001450655],"domain_scores_gemma":[0.9994542,0.0001033716,0.0001440922,0.00004274564,0.0001247136,0.0001308435],"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":[0.0008535781,0.003491156,0.04709475,0.002282403,0.0001510052,0.001508261,0.006840967,0.002108273,0.04148292,0.002313749,0.005666003,0.8862069],"study_design_scores_gemma":[0.0006050843,0.01801549,0.5938433,0.003973602,0.001191204,0.006520642,0.03157596,0.01568773,0.03895241,0.007230214,0.2819996,0.0004046823],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.939757,0.003368681,0.02746907,0.001176224,0.0001998959,0.001865198,0.0003360886,0.0002714695,0.02555636],"genre_scores_gemma":[0.9125291,0.003055247,0.06541885,0.0004518393,0.0001027383,0.0007921375,0.000327222,0.00006177236,0.0172612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01352927,"threshold_uncertainty_score":0.02690107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02496920937356153,"score_gpt":0.3012287805160516,"score_spread":0.2762595711424901,"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."}}