{"id":"W2160077172","doi":"10.7557/2.33.2.2535","title":"CARMA’s MERRA-based caribou range climate database","year":2013,"lang":"en","type":"article","venue":"Rangifer","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Island Health; Simon Fraser University; Yukon University","funders":"","keywords":"Database; Environmental science; Range (aeronautics); Meteorology; Geography; Computer science; Engineering; Aerospace engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005958519,0.0004985967,0.0006861316,0.003555022,0.0003866809,0.0009046372,0.00119989,0.0005570191,0.0165726],"category_scores_gemma":[0.003303603,0.0003334673,0.0004855912,0.005655555,0.0001294532,0.000832547,0.0007523273,0.0005057718,0.007301382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005079851,"about_ca_system_score_gemma":0.001966463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0852571,"about_ca_topic_score_gemma":0.1351604,"domain_scores_codex":[0.9997013,0.00005268859,0.00003998059,0.0000818668,0.00007989108,0.00004432696],"domain_scores_gemma":[0.9983819,0.000321423,0.0001719953,0.0003714047,0.0005726155,0.0001807543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007024643,0.0001519715,0.1061799,0.00168796,0.000761357,0.0003343517,0.0007031637,0.007822161,0.00195372,0.003829945,0.8008124,0.07506055],"study_design_scores_gemma":[0.0002056969,0.0000311934,0.08760343,0.0002582247,0.0002191928,0.0001892038,0.0003078807,0.007407623,0.001450218,0.001616016,0.9006438,0.00006736251],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01860779,0.0007101551,0.001899459,0.0001343168,0.00004513977,0.00004404208,0.9673955,0.003130924,0.008032535],"genre_scores_gemma":[0.04430534,0.0004726285,0.005800414,0.00008503044,0.00002903992,0.0001748537,0.9455197,0.0005834954,0.003029527],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0852571,"threshold_uncertainty_score":0.1695217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0338964782465901,"score_gpt":0.2359248535973702,"score_spread":0.2020283753507801,"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."}}