{"id":"W3162058524","doi":"10.1002/ecs2.3513","title":"Old‐growth forest structure in a low‐productivity hypermaritime rainforest in coastal British Columbia, Canada","year":2021,"lang":"en","type":"article","venue":"Ecosphere","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Smiths Detection (Canada); Tula Foundation; Simon Fraser University; University of Victoria; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Hakai Institute; University of Victoria","keywords":"Bog; Woodland; Vegetation (pathology); Ecology; Productivity; Rainforest; Vegetation type; Old-growth forest; Forestry; Environmental science; Geography; Agroforestry; Biology; Peat; Shrub","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001423244,0.0001348295,0.0002775891,0.00001818456,0.00009959385,0.000282287,0.0002005529,0.00009583181,0.009694112],"category_scores_gemma":[0.0004242884,0.00020314,0.00003660532,0.0004863912,0.00006476094,0.0002798718,0.00003839014,0.0003044909,0.00003924198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004285789,"about_ca_system_score_gemma":0.0009951027,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9929674,"about_ca_topic_score_gemma":0.9999965,"domain_scores_codex":[0.9983734,0.0001162076,0.0002753742,0.0004265238,0.0002841291,0.0005243266],"domain_scores_gemma":[0.9993114,0.0001960737,0.00005559378,0.0002317811,0.0000662667,0.0001388825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002113184,0.00002229783,0.9794035,0.00006608392,0.000006601166,0.001908963,0.00003603399,0.002285406,0.00000953807,0.000002572886,0.008661649,0.007576226],"study_design_scores_gemma":[0.0005249358,0.00002290613,0.9954218,0.0001028954,0.000003057125,0.0002104201,0.0001745045,0.0008881199,0.00003062154,0.0002604288,0.002120055,0.0002402894],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906211,0.0004925938,4.525631e-7,0.0002313233,0.0003208766,0.0001548856,0.001267788,0.00002687749,0.006884097],"genre_scores_gemma":[0.9966609,0.00003916666,0.0001856124,0.00021908,0.00009544721,0.000001670784,0.0003619905,0.000008903406,0.002427171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01601827,"threshold_uncertainty_score":0.9912112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004105696560159843,"score_gpt":0.1659897803284793,"score_spread":0.1618840837683195,"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."}}