{"id":"W2371469698","doi":"","title":"Variations and influential factors of agricultural carbon emissions in Gansu Province","year":2014,"lang":"en","type":"article","venue":"Ganhanqu dili","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Agriculture; Greenhouse gas; Environmental science; Carbon fibers; Agricultural productivity; Agricultural economics; Carbon sequestration; Irrigation; Environmental protection; Carbon dioxide; Geography; Mathematics; Agronomy; Economics; Chemistry","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":[0.0002165856,0.0002419208,0.0001412715,0.0009134976,0.0002549486,0.0004227532,0.000172321,0.0001342499,0.0005758198],"category_scores_gemma":[0.0002937129,0.0001096155,0.0003378478,0.001085404,0.0002268144,0.0001550619,0.0002468544,0.0001397341,0.00005301084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001105221,"about_ca_system_score_gemma":0.0007459725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1298838,"about_ca_topic_score_gemma":0.1436258,"domain_scores_codex":[0.999835,0.0000258695,0.00001245108,0.00003987181,0.00004053424,0.00004631448],"domain_scores_gemma":[0.9997833,0.00005051278,0.0000554022,0.00001464779,0.00006332358,0.00003282653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005718924,0.00002533603,0.9849033,0.0000435284,0.00009298173,0.0006403587,0.000308099,0.004002427,0.001839168,0.000310278,0.0004735057,0.007303783],"study_design_scores_gemma":[0.000002141417,0.000007478651,0.9969236,0.000004571677,0.00001188513,0.00004660839,0.0002372839,0.001987742,0.0001183054,0.00003286464,0.0006226444,0.000004732898],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984425,0.0001317298,0.00007496559,0.00005715839,0.000003053049,0.000003716518,0.00028725,0.000006980624,0.0009926535],"genre_scores_gemma":[0.9993272,0.00009738065,0.0000546884,0.000007314171,0.000002607158,0.000002281715,0.0002713392,0.00000116527,0.0002360394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1298838,"threshold_uncertainty_score":0.2582555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003223458528794348,"score_gpt":0.187942979150708,"score_spread":0.1847195206219137,"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."}}