{"id":"W2567137264","doi":"","title":"IMPACTS OF ENHANCED TEMPERATURE AND SNOW DEPOSITION ON SENESCENCE DATE, VEGETATION COVER, AND CO2 EXCHANGE IN A CANADIAN HIGH ARCTIC MESIC ECOSYSTEM","year":2016,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Marine Bivalve and Aquaculture Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Resources Canada; National Oceanic and Atmospheric Administration; Queen's University; ArcticNet","keywords":"Snow; Vegetation (pathology); Ecosystem; Arctic; Snow cover; Environmental science; Vegetation cover; Deposition (geology); Arctic vegetation; Physical geography; Cover (algebra); Geography; Atmospheric sciences; Ecology; Tundra; Meteorology; Biology; Engineering; Geology; Medicine; Land use","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004050125,0.0002500546,0.0002881648,0.0002026756,0.0001546225,0.00003374644,0.0001267667,0.0002194393,0.0002158485],"category_scores_gemma":[0.00002193213,0.0002236509,0.00003865981,0.0002640774,0.0000591037,0.0007393195,0.00007363642,0.0001720572,0.0000186613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001898907,"about_ca_system_score_gemma":0.00007457183,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3049465,"about_ca_topic_score_gemma":0.4253065,"domain_scores_codex":[0.9989164,0.0001000827,0.0001206291,0.0004149498,0.0001820114,0.0002658667],"domain_scores_gemma":[0.9994195,0.00005827385,0.0001651035,0.0001513989,0.00001525281,0.0001904579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002511243,0.0004094905,0.8765871,0.008090406,0.000520956,0.0007629743,0.02046997,0.0001065833,0.02848664,0.002931097,0.05219822,0.006925331],"study_design_scores_gemma":[0.0009825984,0.0002771804,0.9566461,0.00223167,0.00008994692,0.000001001626,0.001138997,0.000004226529,0.03307889,0.00007624097,0.004892646,0.0005804358],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872112,0.00005809961,0.000002266176,0.002355539,0.00009432635,0.0004066243,0.0001094896,0.00002143221,0.009741066],"genre_scores_gemma":[0.9828963,0.001353739,0.00007134063,0.00005968956,0.00002217319,0.000001893824,0.0004235133,0.00001697161,0.01515437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.12036,"threshold_uncertainty_score":0.9120219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002857103697237249,"score_gpt":0.1748966576497683,"score_spread":0.172039553952531,"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."}}