{"id":"W2984614166","doi":"10.1139/cjb-2019-0076","title":"Sphagnum outcompetes feathermosses in their photosynthetic adaptation to postharvest black spruce forests","year":2019,"lang":"en","type":"article","venue":"Botany","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Memorial University of Newfoundland; Canadian Forest Service","funders":"","keywords":"Sphagnum; Biology; Understory; Black spruce; Botany; Moss; Photosynthesis; Peat; Ecology; Taiga; Canopy","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001482706,0.0001350117,0.0001721409,0.00003426319,0.00003175601,0.00002599359,0.0002030079,0.00005845245,0.002227333],"category_scores_gemma":[0.00003194993,0.0001079469,0.00004165867,0.0001600067,0.00004578644,0.0001256171,0.000102365,0.00007250439,0.002865385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000906927,"about_ca_system_score_gemma":0.00000919872,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000515284,"about_ca_topic_score_gemma":0.01968711,"domain_scores_codex":[0.9990615,0.00003837811,0.0001708722,0.0002953489,0.0001251641,0.0003087507],"domain_scores_gemma":[0.9995473,0.00008216238,0.00004471907,0.0002345281,0.000004087298,0.00008719198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000324738,0.00005935786,0.9786802,0.000003557443,0.000003518248,0.000009876177,0.0007748533,0.001093492,0.01717895,0.00005231473,0.0002422436,0.001869171],"study_design_scores_gemma":[0.0003596481,0.000141611,0.9912295,0.00001471523,0.000002736733,0.000006480449,0.0002015867,0.002552895,0.0008589218,0.0003464694,0.004128587,0.000156842],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877895,0.00001788361,0.00005113103,0.0003792498,0.0001103064,0.0003534166,0.000008532156,0.00002747798,0.01126246],"genre_scores_gemma":[0.9976155,0.000008174667,0.0002395608,0.0004106678,0.00002004348,0.00001813753,0.000002475259,0.000014865,0.001670542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01917183,"threshold_uncertainty_score":0.9986848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01030571397098358,"score_gpt":0.2189034187770375,"score_spread":0.208597704806054,"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."}}