{"id":"W2752158926","doi":"10.1111/1365-2745.12861","title":"Linking resource availability and heterogeneity to understorey species diversity through succession in boreal forest of Canada","year":2017,"lang":"en","type":"article","venue":"Journal of Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Understory; Species richness; Shrub; Ecology; Taiga; Species diversity; Ecological succession; Boreal; Spatial heterogeneity; Abundance (ecology); Vegetation (pathology); Biology; Canopy; Geography; Environmental science","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":[0.0004288684,0.00005347784,0.0001876335,0.00002113473,0.0004228685,0.000005723312,0.0002169138,0.00005401126,0.00003931345],"category_scores_gemma":[0.0002509649,0.00004591241,0.00002237554,0.00002687897,0.0002844602,0.0001383828,0.0006065128,0.0001205382,6.44223e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002814944,"about_ca_system_score_gemma":0.00004136593,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03602305,"about_ca_topic_score_gemma":0.9710519,"domain_scores_codex":[0.9993909,0.0000616863,0.0002167737,0.00009793494,0.0001022232,0.0001304995],"domain_scores_gemma":[0.999359,0.0001399799,0.0003284681,0.0001079902,0.00001870944,0.00004583073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004834869,0.00002939052,0.9978608,0.000006041448,0.000009645186,0.00001769442,0.0005586878,0.0009045997,0.00004981738,0.00008346179,0.0003623056,0.00006921172],"study_design_scores_gemma":[0.0002591746,0.0001063712,0.9973502,0.000008355249,0.000007135347,0.000007722518,0.0002189593,0.00007468914,0.00005967834,0.001554149,0.0003134611,0.00004010909],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944197,0.00001476957,0.0000430341,0.001555455,0.0001458514,0.00004960359,0.000002014973,7.209832e-7,0.003768882],"genre_scores_gemma":[0.9994415,0.00002271171,0.000314928,0.0001519844,0.00001487797,3.39906e-7,2.619176e-7,0.000001589132,0.00005181467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9350289,"threshold_uncertainty_score":0.9703962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02404911486605304,"score_gpt":0.2516503671493951,"score_spread":0.227601252283342,"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."}}