{"id":"W1998536420","doi":"10.1371/journal.pone.0061229","title":"Mechanisms for Success after Long-term Nutrient Enrichment in a Boreal Forest Understory","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Association of Canadian Universities for Northern Studies","keywords":"Understory; Biology; Nutrient; Growing season; Biomass (ecology); Abundance (ecology); Agronomy; Ecosystem; Taiga; Fertilizer; Phenology; Botany; Ecology; Canopy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004683078,0.0003749586,0.0002638021,0.0004433465,0.0006109812,0.0007626953,0.0006626362,0.0005449096,0.0009591554],"category_scores_gemma":[0.0005697333,0.0002628857,0.000237443,0.0001522293,0.0006098653,0.0005824158,0.0008006789,0.0003229807,0.0001577377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006385719,"about_ca_system_score_gemma":0.0003977927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007603764,"about_ca_topic_score_gemma":0.01983592,"domain_scores_codex":[0.9997905,0.0000248142,0.00001276428,0.00006480551,0.00002773861,0.00007941735],"domain_scores_gemma":[0.9989532,0.0000972223,0.000380693,0.00009301405,0.0001105494,0.0003652677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007267458,0.000361034,0.4168624,0.0001290114,0.0001003032,0.0003909338,0.0007511558,0.0003604081,0.5649417,0.00069378,0.0002078126,0.01447468],"study_design_scores_gemma":[0.000007591259,0.0001482048,0.9969882,0.000004170801,0.000009861356,0.0001130506,0.0002734005,0.0003498384,0.001812437,0.0001001748,0.0001841254,0.000008943452],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993007,0.0001397759,0.0001112786,0.00002411141,0.000001456982,0.000004833212,0.0000165858,0.000008523127,0.0003927796],"genre_scores_gemma":[0.9993806,0.00003917043,0.0002008641,0.00002852727,0.000002281985,0.000007019522,0.00003910578,0.00000262456,0.0002998837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007603764,"threshold_uncertainty_score":0.01511902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01849843836819118,"score_gpt":0.2178322347231703,"score_spread":0.1993337963549791,"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."}}