{"id":"W7160735883","doi":"","title":"Rangeland Health Assessments of NCC Properties in Saskatchewan","year":2023,"lang":"","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Rangeland; Exclosure; Forest health; Population; Vegetation (pathology)","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":[0.0007758744,0.0004277953,0.0002338097,0.001931855,0.0008583884,0.001064901,0.000687897,0.0003872509,0.01738057],"category_scores_gemma":[0.001769173,0.0003037595,0.0003245423,0.003321683,0.0003040197,0.0006051697,0.0009920114,0.0003602321,0.003402724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008455584,"about_ca_system_score_gemma":0.01437525,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9073699,"about_ca_topic_score_gemma":0.975837,"domain_scores_codex":[0.9991902,0.0001095862,0.00004013889,0.0001073453,0.0004022667,0.0001504957],"domain_scores_gemma":[0.9978102,0.0002165641,0.0001600407,0.0001971243,0.001433323,0.0001827914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004728172,0.0002436346,0.645099,0.0004892646,0.0002999702,0.0005809063,0.002816216,0.007779181,0.005737486,0.003794551,0.1961943,0.1364927],"study_design_scores_gemma":[0.00002699421,0.00005584361,0.9130581,0.0002586251,0.00004561479,0.00005582257,0.005126375,0.002723061,0.00216413,0.000572204,0.07587167,0.00004148109],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4429701,0.0006517018,0.003972185,0.001227373,0.00008457961,0.0009180955,0.221406,0.0004624904,0.3283074],"genre_scores_gemma":[0.6519051,0.0009420036,0.008810682,0.0005787162,0.00002468728,0.0008695735,0.0933974,0.0002654434,0.2432063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09263015,"threshold_uncertainty_score":0.1863513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03288619571853495,"score_gpt":0.3062507290293175,"score_spread":0.2733645333107825,"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."}}