{"id":"W2766842118","doi":"10.1111/ele.12835","title":"Surface water <scp>CO</scp><sub>2</sub> concentration influences phytoplankton production but not community composition across boreal lakes","year":2017,"lang":"en","type":"article","venue":"Ecology Letters","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Phytoplankton; Biomass (ecology); Environmental science; Ecology; Boreal; Context (archaeology); Nutrient; Composition (language); Oceanography; Biology; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0001488622,0.0001638581,0.0001864189,0.0003173623,0.0005317466,0.0003776145,0.0001416606,0.0001138098,0.0005773591],"category_scores_gemma":[0.0002265264,0.00019046,0.0001378275,0.0002217252,0.0004440547,0.0003105646,0.0003315074,0.0001215079,0.00005256072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003503698,"about_ca_system_score_gemma":0.0001973458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.021029,"about_ca_topic_score_gemma":0.03090964,"domain_scores_codex":[0.9999161,0.00001387988,0.000005048426,0.00003077193,0.00001633324,0.00001797933],"domain_scores_gemma":[0.999817,0.00002455007,0.00005863405,0.00001087294,0.00003752017,0.00005147494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007018502,0.00008362484,0.509013,0.00005233333,0.0001272727,0.00009110407,0.0005387557,0.0004346991,0.4841382,0.00008709924,0.0001368602,0.004595206],"study_design_scores_gemma":[0.000003279231,0.00005403093,0.9970248,9.843579e-7,0.000012087,0.00002130198,0.0001175086,0.0003204145,0.00234765,0.00001269225,0.00008306099,0.000002063378],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997672,0.00001874741,0.00003926563,0.000005004974,5.997793e-7,0.000001434186,0.0000311425,0.0000027755,0.000133716],"genre_scores_gemma":[0.999836,0.00001152395,0.00006256191,0.000006080169,8.26625e-7,0.000001824186,0.00003380184,0.00000139108,0.00004600689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.021029,"threshold_uncertainty_score":0.04181319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01493085605251611,"score_gpt":0.2297052859312045,"score_spread":0.2147744298786884,"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."}}