{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002348932,0.0002385963,0.0002120377,8.279738e-7,0.0002357117,0.00003154245,0.0003129543,0.0005278523,0.0008930378],"category_scores_gemma":[0.000103801,0.0002028181,0.0000633037,0.0001694801,0.0002819158,0.0001801988,0.0002432952,0.001039835,0.0002643571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002489864,"about_ca_system_score_gemma":0.000005169791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001637999,"about_ca_topic_score_gemma":0.0001885773,"domain_scores_codex":[0.9983389,0.00013154,0.0001415517,0.000616531,0.0004809492,0.0002904618],"domain_scores_gemma":[0.9991472,0.00008081828,0.00009514316,0.0005148094,0.000004084994,0.0001579092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007193081,0.0002409301,0.9447863,0.000006356307,0.00001995915,0.000007879018,0.00008773688,0.03731298,0.01009173,0.00009189619,0.001693737,0.005588606],"study_design_scores_gemma":[0.0003164796,0.00008309642,0.9752218,0.00001240065,0.00001765266,0.000001786333,0.000008334889,0.0025856,0.0008422195,0.0007235587,0.01991903,0.0002680584],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832506,0.00004018752,0.00023659,0.0001678876,0.0001073679,0.0001756172,0.0000143583,0.00008658675,0.01592085],"genre_scores_gemma":[0.993877,0.000005542354,0.003687557,0.001368741,0.000113298,0.00001209169,0.00002853616,0.00002396893,0.0008832761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03472738,"threshold_uncertainty_score":0.9778137,"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."}}