{"id":"W3158832190","doi":"10.1080/11956860.2021.1917859","title":"How will snow retention and shading from Arctic shrub expansion affect caribou food resources?","year":2021,"lang":"en","type":"article","venue":"Ecoscience","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Shrub; Prosopis glandulosa; Snow; Environmental science; Biomass (ecology); Carex; Forb; Agronomy; Tundra; Ecology; Biology; Arctic; Geography; Grassland; Woody plant","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.000514935,0.0002028039,0.0002705932,0.0001944804,0.0003274997,0.0007072853,0.0001924815,0.000498111,0.001398223],"category_scores_gemma":[0.001128769,0.0001373253,0.0002938994,0.000190151,0.0004186362,0.0003895365,0.0002845174,0.0002356426,0.000171722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006751894,"about_ca_system_score_gemma":0.0009852063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03734746,"about_ca_topic_score_gemma":0.1266376,"domain_scores_codex":[0.9998418,0.00006650556,0.000005113355,0.00002534093,0.00001672535,0.00004446949],"domain_scores_gemma":[0.9996188,0.0001103068,0.00009681486,0.00001611657,0.00004594736,0.0001119649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004449328,0.000155689,0.9767421,0.00005442135,0.0002480302,0.0002848784,0.0006583075,0.0009274394,0.0105915,0.000322262,0.0003935069,0.009176796],"study_design_scores_gemma":[0.000003717247,0.00009295636,0.9979804,0.000005330655,0.00003071966,0.00004204297,0.0005198116,0.0004529014,0.0002590937,0.0002307138,0.0003780331,0.000004324169],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986357,0.0002137237,0.000134365,0.0002088722,0.000008446032,0.000003684098,0.00007911331,0.000003118051,0.0007129654],"genre_scores_gemma":[0.9991736,0.0001525992,0.00009274551,0.00007305634,0.000007994136,0.000004321786,0.00006876255,0.000002242703,0.0004246045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03734746,"threshold_uncertainty_score":0.07426018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0383192294357582,"score_gpt":0.2183681808008833,"score_spread":0.1800489513651251,"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."}}