{"id":"W2981450990","doi":"10.4095/297892","title":"A glacier condition and thresholding rubric for use in assessing protected area / ecosystem functioning","year":2016,"lang":"en","type":"report","venue":"","topic":"Environmental Changes in China","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Rubric; Glacier; Thresholding; Ecosystem; Environmental science; Physical geography; Geography; Computer science; Psychology; Artificial intelligence; Ecology; Biology; Mathematics education","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008967266,0.0003553999,0.0003865973,0.0001406028,0.0002022571,0.0001844711,0.0001376244,0.0003584328,0.001333232],"category_scores_gemma":[0.000206884,0.0002849496,0.00008081651,0.0001545017,0.000118317,0.0009004089,0.0003081175,0.0002809793,0.00004366742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002415832,"about_ca_system_score_gemma":0.00003519992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003135541,"about_ca_topic_score_gemma":0.001332167,"domain_scores_codex":[0.9976236,0.00006745518,0.0004550385,0.0008102691,0.0006217595,0.0004218688],"domain_scores_gemma":[0.9989552,0.0002624278,0.0003483701,0.0003271325,0.00001117005,0.00009570254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005931217,0.0001473611,0.9479437,0.0008178185,0.00008146269,0.0000558082,0.000209915,0.0002721156,0.0114374,0.00002505422,0.007783339,0.03116672],"study_design_scores_gemma":[0.002906444,0.0003532393,0.8246568,0.004726635,0.0002168709,0.0006250949,0.0003989595,0.005354711,0.003109572,0.001226339,0.1538213,0.002603991],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9348488,0.0001750469,0.01575276,0.00007653225,0.0009144401,0.003166332,0.0001624769,0.0001611508,0.04474241],"genre_scores_gemma":[0.9838479,0.0002516948,0.005669964,0.00006729747,0.0002273747,0.0007972936,0.0001518182,0.0001099283,0.008876718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.146038,"threshold_uncertainty_score":0.9999602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06775883714725704,"score_gpt":0.2959690448828194,"score_spread":0.2282102077355623,"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."}}