{"id":"W2552121856","doi":"10.1111/1365-2435.12804","title":"Shade tolerance and the functional trait: demography relationship in temperate and boreal forests","year":2016,"lang":"en","type":"article","venue":"Functional Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; Université du Québec en Outaouais; Université de Sherbrooke; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Evergreen; Trait; Deciduous; Ecology; Context (archaeology); Shade tolerance; Temperate deciduous forest; Taiga; Temperate forest; Temperate climate; Canopy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007654043,0.0001377257,0.0001212333,0.0004645937,0.0002541079,0.0003552193,0.0001108593,0.0001273265,0.0009335241],"category_scores_gemma":[0.001012634,0.00006948267,0.0001801171,0.0003148766,0.0003689992,0.0002763697,0.000258323,0.0001717439,0.00005551809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001481594,"about_ca_system_score_gemma":0.0001135424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003442892,"about_ca_topic_score_gemma":0.00967351,"domain_scores_codex":[0.9998351,0.00007682548,0.000009283689,0.00003907927,0.00001871642,0.00002090079],"domain_scores_gemma":[0.9990783,0.0004787432,0.0002221673,0.00006549303,0.00005653696,0.00009874686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003825164,0.00001718788,0.9951268,0.000007807923,0.00003034745,0.00001310276,0.0002024158,0.0002281409,0.0008170293,0.0001295525,0.00003441362,0.003354843],"study_design_scores_gemma":[6.644161e-7,0.00001425136,0.9992369,0.000001543602,0.000004090787,0.00002785207,0.0001151082,0.0003831445,0.00004305597,0.0001091652,0.00006300629,0.00000125583],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994161,0.00007845672,0.0002086656,0.000015009,9.828062e-7,8.483097e-7,0.00005157511,0.000002026273,0.0002263767],"genre_scores_gemma":[0.9996833,0.00001979302,0.0001851357,0.000003517753,0.000001462694,0.00000107746,0.00007011361,5.149388e-7,0.0000351211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003442892,"threshold_uncertainty_score":0.006845713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01070498176642842,"score_gpt":0.2030578078746015,"score_spread":0.1923528261081731,"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."}}