{"id":"W2074602303","doi":"10.1038/nature13957","title":"Direct human influence on atmospheric CO2 seasonality from increased cropland productivity","year":2014,"lang":"en","type":"article","venue":"Nature","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":139,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Biosphere; Environmental science; Carbon cycle; Northern Hemisphere; Seasonality; Carbon dioxide in Earth's atmosphere; Atmospheric sciences; Productivity; Southern Hemisphere; Climatology; Agriculture; Climate change; Carbon dioxide; Annual cycle; Ecology; Ecosystem; 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":[0.0001986437,0.0002026551,0.000150319,0.0003750301,0.0003469981,0.0005466887,0.0001793045,0.0003150823,0.007473203],"category_scores_gemma":[0.001406918,0.0001660196,0.0003334793,0.0006468155,0.0005042764,0.0002772189,0.0004476281,0.0002472282,0.0003492519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006320963,"about_ca_system_score_gemma":0.0006198307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04944393,"about_ca_topic_score_gemma":0.08925635,"domain_scores_codex":[0.9998592,0.00003890517,0.000007197316,0.00003696061,0.00002087082,0.00003686655],"domain_scores_gemma":[0.9988472,0.0004779277,0.0001915068,0.0000959258,0.0001638205,0.000223573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001451147,0.0001297167,0.9596536,0.000100641,0.00026346,0.0005830748,0.0007279963,0.001509326,0.01277622,0.0007112602,0.0009397503,0.02115388],"study_design_scores_gemma":[0.000003439356,0.00002123196,0.9984206,0.000004686275,0.00003157068,0.0000641955,0.0001720619,0.0001642554,0.0005250036,0.0001229203,0.0004671004,0.000002904226],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924473,0.0003985786,0.0001633556,0.0002287836,0.00001688405,0.00000469335,0.0006028519,0.00001033132,0.006127201],"genre_scores_gemma":[0.9986514,0.0001637626,0.00005333103,0.00002536566,0.00001809544,0.000001620632,0.0001132855,0.000004236351,0.0009687677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04944393,"threshold_uncertainty_score":0.09831226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003018589472664883,"score_gpt":0.2028817514592443,"score_spread":0.1998631619865794,"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."}}