{"id":"W2189613831","doi":"","title":"Snowpack–Vegetation–Terrain Relationships Across the Arctic Treeline, Churchill MB","year":2015,"lang":"en","type":"article","venue":"","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Snowpack; Tundra; Snow; Environmental science; Ecotone; Arctic; Vegetation (pathology); Black spruce; Physical geography; Meltwater; Arctic vegetation; Microclimate; Atmospheric sciences; Climatology; Hydrology (agriculture); Taiga; Geology; Ecology; Geography; Forestry; Geomorphology; Shrub; Oceanography","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":[0.0002109383,0.0001088777,0.00009407159,0.0005703097,0.001085703,0.0004753094,0.0003354902,0.00009179742,0.003014865],"category_scores_gemma":[0.0008186994,0.0001032147,0.00007435728,0.0006021446,0.0001557933,0.0002062448,0.0004595676,0.0002018831,0.0003352347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001864834,"about_ca_system_score_gemma":0.001250112,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7660145,"about_ca_topic_score_gemma":0.9443332,"domain_scores_codex":[0.9998893,0.00001816451,0.00000444294,0.00001988191,0.00003272108,0.00003553971],"domain_scores_gemma":[0.9993031,0.00004329807,0.0001293036,0.00001928662,0.0002478422,0.0002571203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001662472,0.00004340274,0.9694501,0.00002359829,0.00004427507,0.0001682024,0.003210587,0.0002627469,0.001679949,0.0001769245,0.005337248,0.01943672],"study_design_scores_gemma":[0.00000110854,0.00001549063,0.9969684,0.000009196488,0.000003586008,0.0000294821,0.0009523749,0.0001155006,0.00007111115,0.00001037208,0.001821089,0.000002228714],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950526,0.0002275505,0.0000994541,0.0001039305,0.000008517496,0.000006776817,0.001366946,0.00000850721,0.003125747],"genre_scores_gemma":[0.9957467,0.0001215126,0.0002197098,0.00002461817,0.000004985912,0.000009059439,0.0007836322,0.000007302242,0.003082487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2339855,"threshold_uncertainty_score":0.4707269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1064225757038665,"score_gpt":0.2933976073942577,"score_spread":0.1869750316903911,"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."}}