{"id":"W2590161543","doi":"10.1111/jvs.12521","title":"Aspect and slope influence plant community composition more than elevation across forest–tundra ecotones in subarctic Canada","year":2017,"lang":"en","type":"article","venue":"Journal of Vegetation Science","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Queen's University; W. Garfield Weston Foundation","keywords":"Ecotone; Tundra; Species richness; Subarctic climate; Plant community; Elevation (ballistics); Abiotic component; Ecology; Vegetation (pathology); Physical geography; Geography; Environmental science; Tree line; Climate change; Arctic; Habitat; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00128858,0.00007534459,0.000132725,0.0000968046,0.001044494,0.0003592414,0.0004163821,0.00002436203,0.00001981647],"category_scores_gemma":[0.0002169258,0.00006106699,0.0000158281,0.0001554932,0.0003589694,0.001805228,0.00002542706,0.0002204524,0.000001947031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003617383,"about_ca_system_score_gemma":0.0002877541,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3287101,"about_ca_topic_score_gemma":0.9554593,"domain_scores_codex":[0.9989192,0.00006201785,0.000272967,0.0000924186,0.0004543889,0.0001989879],"domain_scores_gemma":[0.998923,0.0001744274,0.0004307842,0.0001619036,0.0002024225,0.0001074296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002745404,0.000008138721,0.9919482,0.00002179051,0.000001695739,0.00002028292,0.002498342,0.002389557,0.001863898,0.00001229327,0.000007019097,0.001201327],"study_design_scores_gemma":[0.0002419206,0.00007961707,0.9909525,0.000101032,0.000003665651,0.0001269766,0.001181026,0.006568856,0.0004046308,0.0002410881,0.00002443926,0.0000742554],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986106,0.0001226852,0.00001341442,0.0006846781,0.0002314952,0.00006721981,0.00007700429,0.000002012013,0.0001909198],"genre_scores_gemma":[0.9995797,0.00009795842,0.00007173722,0.0001811648,0.00003789877,2.656366e-7,0.00002714261,0.000001246234,0.000002867588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6267492,"threshold_uncertainty_score":0.8033513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04128943624270364,"score_gpt":0.2993624162406346,"score_spread":0.2580729799979309,"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."}}