{"id":"W2789951994","doi":"10.1016/j.scitotenv.2018.03.099","title":"Interspecific variation in growth responses to tree size, competition and climate of western Canadian boreal mixed forests","year":2018,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Forest ecology and management","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University; University of Alberta; Alberta Environment and Protected Areas","funders":"Science and Technology Planning Project of Guangdong Province; Forest Resource Improvement Association of Alberta; CAS-SAFEA International Partnership Program for Creative Research Teams; Chinese Academy of Sciences; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Interspecific competition; Taiga; Competition (biology); Boreal; Ecology; Variation (astronomy); Climate change; Geography; Physical geography; Forestry; 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":[0.000913624,0.00007551986,0.00008617353,0.00006100491,0.0001848609,0.00001102678,0.0004161186,0.00002254111,0.0001473292],"category_scores_gemma":[0.00006648309,0.00004885831,0.00001948126,0.0002273494,0.001828232,0.0001274411,0.0005234579,0.0000481151,0.00005819221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002641423,"about_ca_system_score_gemma":0.00001594958,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01549813,"about_ca_topic_score_gemma":0.06369468,"domain_scores_codex":[0.9990382,0.0000739888,0.0001711978,0.0002091606,0.0002600948,0.0002474021],"domain_scores_gemma":[0.9994962,0.00005293084,0.00008432782,0.0002893556,0.000003705846,0.00007343478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001472376,0.0008714814,0.6474944,0.00006654653,0.000059194,0.00001224911,0.0289338,0.02703651,0.1916467,0.09410608,0.001184287,0.007116369],"study_design_scores_gemma":[0.0001395455,0.0001786814,0.9939399,0.00001324213,0.000006826909,0.000002475581,0.0001286891,0.0004950573,0.003385499,0.00162,0.00003561627,0.00005450654],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940988,0.000002841708,0.00003567722,0.002033563,0.0001148301,0.0003048106,0.000007187203,0.000002637311,0.003399603],"genre_scores_gemma":[0.9994976,0.00000983859,0.0002048938,0.00006513319,0.000008681412,0.00001095047,3.131314e-7,0.000003523258,0.0001990984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3464454,"threshold_uncertainty_score":0.9910578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006478470528442186,"score_gpt":0.1997452972279591,"score_spread":0.1932668266995169,"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."}}