{"id":"W2762606226","doi":"","title":"Landscape-Scale Variability in the Composition, Growth and Pattern of Alpine Treeline Vegetation","year":2017,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Ecology and Conservation Studies","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Queen's University","keywords":"Vegetation (pathology); Geography; Scale (ratio); Physical geography; Composition (language); Ecology; Cartography; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001060592,0.0001286646,0.0002240721,0.00003023981,0.0002800811,0.00002878383,0.0002681161,0.0001734117,0.00009170889],"category_scores_gemma":[0.00002265126,0.00006000761,0.00005716823,0.0001557245,0.00008016062,0.0003484932,0.00004100563,0.0001644686,0.000002149901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000567942,"about_ca_system_score_gemma":0.00001639926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002361362,"about_ca_topic_score_gemma":0.004760943,"domain_scores_codex":[0.9991847,0.0002488287,0.0001284823,0.0002294602,0.0001008897,0.000107682],"domain_scores_gemma":[0.999279,0.0003439695,0.0002209832,0.00007590341,0.00005418564,0.00002601514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002146339,0.0002084676,0.9810873,0.0001655613,0.00005359619,0.00001438656,0.001735101,0.000001261582,0.0003113638,0.0007306508,0.01060579,0.004871888],"study_design_scores_gemma":[0.0001750963,0.00007595302,0.9940358,0.00005395011,0.00003817762,1.324918e-7,0.002321958,0.000003923705,0.0004033223,0.0003694344,0.002408188,0.0001140981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9564399,0.00003126589,0.000003347396,0.03592495,0.00006306278,0.0001969476,0.00005079565,0.00002452947,0.007265185],"genre_scores_gemma":[0.9936361,0.0003392415,0.00002892851,0.0001525024,0.00004311079,0.000001804878,0.0009727931,9.348046e-7,0.004824589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03719617,"threshold_uncertainty_score":0.3569689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007322292081162786,"score_gpt":0.1847010745656938,"score_spread":0.177378782484531,"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."}}