{"id":"W2046908251","doi":"10.1111/j.1365-2427.2007.01914.x","title":"Warming and depth interact to affect carbon dioxide concentration in aquatic mesocosms","year":2008,"lang":"en","type":"article","venue":"Freshwater Biology","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Mesocosm; Sedimentation; Carbon dioxide; Water column; Environmental chemistry; Environmental science; Particulates; Atmosphere (unit); Carbon fibers; Biogeochemical cycle; Chemistry; Ecology; Sediment; Nutrient; Geology; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003048477,0.0003071469,0.0004908908,0.0001146687,0.000312931,0.0003435583,0.0003120596,0.0003681826,0.0006732823],"category_scores_gemma":[0.000399592,0.0002852072,0.0005385957,0.000122047,0.0003098297,0.0004134227,0.0004941277,0.000863129,0.0001193938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006732002,"about_ca_system_score_gemma":0.0002728337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003685849,"about_ca_topic_score_gemma":0.006531395,"domain_scores_codex":[0.9998195,0.00002078843,0.0000141007,0.00008153045,0.00004267698,0.00002153786],"domain_scores_gemma":[0.9995587,0.0001317551,0.00008219016,0.0000679726,0.00006112207,0.00009814985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005040101,0.00007752729,0.01577113,0.00004695693,0.00003637479,0.00004295582,0.0001213348,0.0009332271,0.9804745,0.00004195927,0.00008177572,0.001868327],"study_design_scores_gemma":[0.0001911339,0.001857033,0.7154315,0.00003136093,0.0002692828,0.00008912318,0.0003698814,0.02781579,0.2512767,0.0004616437,0.002148516,0.00005801646],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987769,0.0001097692,0.0005897918,0.00003292209,0.00001156031,0.00001893516,0.0001820559,0.00002112551,0.0002568955],"genre_scores_gemma":[0.9971898,0.000121329,0.001720397,0.0001083751,0.000009065562,0.00006976379,0.0002902426,0.00001018934,0.0004808558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003685849,"threshold_uncertainty_score":0.007328808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01642489055066044,"score_gpt":0.2249002764611812,"score_spread":0.2084753859105208,"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."}}