{"id":"W2471249197","doi":"10.1111/jvs.12433","title":"Assessing the factors influencing natural regeneration patterns in the diverse, multi‐cohort, and managed forests of Maine,<scp>USA</scp>","year":2016,"lang":"en","type":"article","venue":"Journal of Vegetation Science","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Forest Service; National Science Foundation","keywords":"Basal area; Abiotic component; Species richness; Ecology; Environmental science; Dominance (genetics); Forestry; Agroforestry; Biology; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00201688,0.00007240751,0.0001021027,0.0001054081,0.0003444156,0.0000680035,0.0003018893,0.00002470524,0.000004026997],"category_scores_gemma":[0.0007622513,0.00003284439,0.00003063818,0.0003418131,0.0005626964,0.001443336,0.000079971,0.000123716,0.000002090486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009175797,"about_ca_system_score_gemma":0.00002541759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003265439,"about_ca_topic_score_gemma":0.001701116,"domain_scores_codex":[0.9988319,0.0001359668,0.0003151495,0.0001252014,0.0004457261,0.0001460925],"domain_scores_gemma":[0.9987366,0.0006118636,0.0004635575,0.00009446574,0.00006602566,0.00002751382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[8.14014e-7,0.00001276654,0.9798392,0.000003610001,0.000004625601,0.000002304773,0.003593823,0.001382451,0.01418276,0.0001522242,0.000005861603,0.0008195388],"study_design_scores_gemma":[0.0002229069,0.00002828172,0.9915985,0.00003590815,0.00001176649,0.00001240613,0.003370516,0.003201618,0.001121498,0.0003683408,0.000003854759,0.00002441882],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943885,0.00005821299,0.004840686,0.0002802933,0.000167978,0.0001017606,4.485917e-7,0.000001704072,0.0001603947],"genre_scores_gemma":[0.9991061,0.00004698518,0.0006962033,0.00009455344,0.00001281779,0.000001669532,1.537264e-7,0.000002178981,0.00003934032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01306127,"threshold_uncertainty_score":0.2649001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02098104626487061,"score_gpt":0.2904601200014723,"score_spread":0.2694790737366016,"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."}}