{"id":"W4410632606","doi":"10.22215/etd/2025-16384","title":"Evaluating annual carbon dioxide exchange between the atmosphere and shrub tundra in Canada’s Southern Arctic","year":2025,"lang":"en","type":"dissertation","venue":"","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tundra; Shrub; Atmosphere (unit); Carbon dioxide; Arctic; The arctic; Environmental science; Carbon dioxide in Earth's atmosphere; Climatology; Atmospheric sciences; Geography; Oceanography; Meteorology; Ecology; Geology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002969817,0.0002529822,0.000206953,0.0006660063,0.001191381,0.0007605575,0.000343545,0.0002015442,0.0007174275],"category_scores_gemma":[0.0005274658,0.0001334009,0.000193501,0.0009235246,0.0002244671,0.0002127264,0.0002149238,0.0001511045,0.000109806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008157283,"about_ca_system_score_gemma":0.005076221,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9799874,"about_ca_topic_score_gemma":0.9932733,"domain_scores_codex":[0.9998693,0.00001141105,0.000005586936,0.00002602242,0.00004143527,0.00004607588],"domain_scores_gemma":[0.9996651,0.0000397745,0.00003505501,0.000009213214,0.000177737,0.00007312373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002513248,0.00004168157,0.9856572,0.00002369668,0.00009161295,0.00011439,0.0005876364,0.001811599,0.00360871,0.00010201,0.0002932431,0.007416925],"study_design_scores_gemma":[0.000002613434,0.000009542593,0.99778,0.000003264936,0.00001143759,0.00001279661,0.000426534,0.001105276,0.0003052644,0.00001028718,0.0003293218,0.000003610651],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986238,0.00009676795,0.00004494051,0.0000125775,0.000001237415,0.000003823587,0.000527947,0.000004096176,0.0006848121],"genre_scores_gemma":[0.9984325,0.0000928001,0.000185745,0.00001177193,0.000001026449,0.00000372123,0.0007287111,0.000003124038,0.0005406458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02001256,"threshold_uncertainty_score":0.0591855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03989109530816493,"score_gpt":0.2710531075652087,"score_spread":0.2311620122570438,"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."}}