{"id":"W4221074916","doi":"10.1111/1365-2745.13881","title":"New insights into the drivers of moss‐associated nitrogen fixation and cyanobacterial biomass in the eastern Canadian boreal forest","year":2022,"lang":"en","type":"article","venue":"Journal of Ecology","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Moss; Nitrogen fixation; Biomass (ecology); Ecology; Biology; Boreal; Cyanobacteria; Ecosystem; Taiga; Agronomy; Nutrient; Environmental science; Botany","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":[],"consensus_categories":[],"category_scores_codex":[0.0004051735,0.00005493356,0.0001334179,0.00007762863,0.0001509671,0.000009888177,0.0002585886,0.000048947,0.0002081564],"category_scores_gemma":[0.00004591875,0.00003315008,0.00003303209,0.0001507944,0.00008194175,0.0000667421,0.00008490469,0.0001498087,0.000001859348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002570192,"about_ca_system_score_gemma":0.0001128665,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1100285,"about_ca_topic_score_gemma":0.8945994,"domain_scores_codex":[0.9991961,0.0002372543,0.0002278077,0.00006940183,0.0001182821,0.0001511159],"domain_scores_gemma":[0.9995013,0.0001082295,0.0002528313,0.00006388684,0.000008456392,0.00006523649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003897388,0.00002556972,0.9944506,5.00676e-7,0.00001758399,0.00003830445,0.003244865,0.0001294961,0.0004768698,0.00004252901,0.001082609,0.0004521121],"study_design_scores_gemma":[0.0007072485,0.0003917733,0.9910524,9.750404e-7,0.00001607402,0.00005180444,0.0004602233,0.0002623261,0.0000167969,0.002672935,0.00433151,0.00003596453],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966415,0.00001485958,0.000003367412,0.002303007,0.0001932799,0.0000825495,0.00000268981,7.686062e-7,0.0007579342],"genre_scores_gemma":[0.9996111,0.00001548905,0.00001622802,0.0002748469,0.00004700392,0.000002967101,0.000007524778,0.000002918573,0.00002188145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7845709,"threshold_uncertainty_score":0.8958979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006511395371574338,"score_gpt":0.1976801796259449,"score_spread":0.1911687842543705,"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."}}