{"id":"W4375852808","doi":"10.1139/cjfr-2022-0274","title":"Stand spatial structure outcomes of forest adaptation treatments in northern hardwood forests in North America","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disturbance (geology); Spatial ecology; Context (archaeology); Psychological resilience; Climate change; Forest management; Temperate rainforest; Ecology; Common spatial pattern; Geography; Forest dynamics; Temperate climate; Snag; Adaptation (eye); Adaptive capacity; Resistance (ecology); Habitat; Forestry; Ecosystem; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003268238,0.0001591283,0.0001987564,0.000386675,0.0004220659,0.0003327873,0.0002686972,0.0001754322,0.0008902573],"category_scores_gemma":[0.0007067578,0.00007379598,0.0001698562,0.0003632438,0.0004405315,0.0002522021,0.0003775463,0.0002138769,0.00005981726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001365675,"about_ca_system_score_gemma":0.0005716466,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07505587,"about_ca_topic_score_gemma":0.3649184,"domain_scores_codex":[0.9997409,0.00006254511,0.00001944669,0.0000816916,0.00004706614,0.000048299],"domain_scores_gemma":[0.9994686,0.0001033006,0.0001558902,0.00003946697,0.00009163516,0.0001411656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001041711,0.0004356623,0.9618415,0.00006051678,0.0001551502,0.0001703782,0.001828795,0.001539677,0.01311337,0.0002194685,0.0005494324,0.01904435],"study_design_scores_gemma":[0.000003815528,0.0000755916,0.9990195,0.000001223219,0.000005099404,0.00000934893,0.0004076692,0.0002240278,0.0001214701,0.00002531188,0.0001050844,0.000001828393],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999593,0.00002842391,0.00003678885,0.000006893717,0.000001145284,0.000006754001,0.0001032735,0.000002704775,0.0002210354],"genre_scores_gemma":[0.9992262,0.00001906316,0.0001418121,0.00001059287,0.000001315824,0.00002333485,0.0002842675,0.000001308371,0.0002921173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9249442,"threshold_uncertainty_score":0.149238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03010662899900517,"score_gpt":0.2965961349788758,"score_spread":0.2664895059798706,"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."}}