{"id":"W2609383213","doi":"10.1139/cjfr-2017-0013","title":"Patterns of bryophyte succession in a 160-year chronosequence in deciduous and coniferous forests of boreal Alaska","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Bryophyte; Chronosequence; Ecological succession; Deciduous; Ecology; Evergreen; Subalpine forest; Canopy; Coarse woody debris; Environmental science; Understory; Taiga; Litter; Boreal; Forestry; Geography; Ecosystem; Biology; Habitat","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0004096223,0.000158971,0.0001708306,0.001033173,0.0005187614,0.0005174019,0.000196937,0.0002048711,0.0005384982],"category_scores_gemma":[0.0004948472,0.0001665579,0.0001636979,0.0006249284,0.000378859,0.0003344399,0.0004295363,0.0001814793,0.000125633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000578982,"about_ca_system_score_gemma":0.000345128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04790158,"about_ca_topic_score_gemma":0.1566631,"domain_scores_codex":[0.9998853,0.00001400999,0.00001367156,0.0000402746,0.00001906339,0.00002759691],"domain_scores_gemma":[0.999495,0.00004405553,0.0001955274,0.0000270663,0.00007357874,0.000164668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005929887,0.00001561262,0.9950678,0.000008238295,0.00001787071,0.00005389819,0.0007920115,0.00005804178,0.002476184,0.00001612423,0.00003437481,0.00140049],"study_design_scores_gemma":[4.082822e-7,0.000005057362,0.9996839,0.000001260102,0.000002056361,0.00002093921,0.0001930045,0.0000221775,0.0000269322,0.000003311718,0.00004001231,8.935164e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996506,0.00006735707,0.00001852687,0.000002731791,8.698293e-7,0.000001249516,0.0001033096,0.000001520608,0.000153981],"genre_scores_gemma":[0.9994047,0.00006510683,0.00007168804,0.000005544228,0.000001575275,0.00000388759,0.0003090443,0.000001171197,0.0001373184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04790158,"threshold_uncertainty_score":0.09524548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0718405968346425,"score_gpt":0.3284801771430242,"score_spread":0.2566395803083817,"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."}}