{"id":"W2054034328","doi":"10.3390/ijerph7093513","title":"Comparison of Laboratory and Field Remote Sensing Methods to Measure Forage Quality","year":2010,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Parks Canada; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Parks Canada","keywords":"Forage; Environmental science; Rangeland; Canopy; Grassland; Vegetation (pathology); Remote sensing; Ecology; Agroforestry; Geography; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004925055,0.0006806429,0.0004522383,0.001137666,0.0003090146,0.0006485614,0.000752863,0.0004477538,0.0006248102],"category_scores_gemma":[0.00316895,0.000274258,0.0002946375,0.0009203969,0.0004102112,0.000557669,0.0003629047,0.0003717792,0.0002620929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005969921,"about_ca_system_score_gemma":0.0004436505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008815341,"about_ca_topic_score_gemma":0.02145633,"domain_scores_codex":[0.9962937,0.00175282,0.0001606701,0.0006378672,0.001056731,0.00009815399],"domain_scores_gemma":[0.9957324,0.001954774,0.0005191601,0.0004450988,0.001220733,0.0001278794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001774848,0.001695685,0.3619774,0.0008309108,0.0007435051,0.00009008594,0.0008133578,0.003166131,0.4600377,0.0005088819,0.0008850767,0.1674764],"study_design_scores_gemma":[0.0001933916,0.00348931,0.8840867,0.00008943065,0.0003518872,0.0006054116,0.001056232,0.01906956,0.08684217,0.0005100776,0.003609368,0.0000965045],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9318019,0.00307246,0.05831416,0.000113451,0.00008919689,0.0003331397,0.0007019031,0.0002086933,0.005365136],"genre_scores_gemma":[0.8920971,0.001771892,0.1016528,0.0003667296,0.00006476189,0.0006025509,0.001421271,0.00007955166,0.001943481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008815341,"threshold_uncertainty_score":0.02604651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1225699654157535,"score_gpt":0.4830367334418643,"score_spread":0.3604667680261107,"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."}}