{"id":"W7033432302","doi":"","title":"Rangeland Health Assessments of NCC Properties in Saskatchewan","year":2023,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"Optimal Experimental Design Methods","field":"Decision Sciences","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":[0.001066426,0.0003767424,0.0002741662,0.001366834,0.000712281,0.0007656694,0.0005958981,0.0003191144,0.002952106],"category_scores_gemma":[0.001912273,0.0002080175,0.0003541104,0.00305915,0.0005495214,0.0004599614,0.0009088023,0.0003215402,0.0006753306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006349142,"about_ca_system_score_gemma":0.007358769,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7955779,"about_ca_topic_score_gemma":0.947657,"domain_scores_codex":[0.9986499,0.0004068629,0.00006673754,0.0002652694,0.0004168245,0.0001944784],"domain_scores_gemma":[0.9978759,0.0003521454,0.0002534182,0.0002374854,0.001147288,0.0001336979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004802931,0.0002265097,0.9142224,0.0001707474,0.0003783611,0.0003166236,0.001541763,0.01053744,0.005635619,0.001006312,0.005860005,0.05962389],"study_design_scores_gemma":[0.00001452769,0.0001079556,0.9864428,0.00006981703,0.00004275064,0.00002364258,0.002765951,0.00253682,0.001427285,0.0002912029,0.006257559,0.00001964362],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9488699,0.0003560653,0.003620818,0.0001974187,0.00001762902,0.0003352996,0.01579473,0.0000596468,0.03074841],"genre_scores_gemma":[0.9765978,0.0002844229,0.004069953,0.0001306812,0.000005338735,0.000296934,0.0074741,0.00002087711,0.01111993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2044221,"threshold_uncertainty_score":0.411252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1167041009919441,"score_gpt":0.4275477039146987,"score_spread":0.3108436029227546,"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."}}