{"id":"W4399596193","doi":"10.5539/jas.v16n7p1","title":"The Recognition of Carbon Capture and Storage by Plants","year":2024,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Aeronautics and Space Administration","keywords":"Remuneration; Atmosphere (unit); Carbon capture and storage (timeline); Natural resource economics; Production (economics); Fossil fuel; Global warming; Greenhouse gas; Business; Environmental science; Carbon fibers; Waste management; Environmental protection; Climate change; Economics; Engineering; Geography; Finance; Meteorology; Computer science; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006870184,0.0002830313,0.0002206385,0.0003161435,0.001020566,0.002145664,0.0005053445,0.00158365,0.004976503],"category_scores_gemma":[0.001089859,0.0001339866,0.0002670275,0.0006106604,0.002678888,0.001742015,0.001160413,0.002213581,0.001072809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00153782,"about_ca_system_score_gemma":0.001067666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002901688,"about_ca_topic_score_gemma":0.003128825,"domain_scores_codex":[0.9993666,0.0001071631,0.00001621237,0.0001932829,0.0002350184,0.00008172264],"domain_scores_gemma":[0.9989477,0.0003295522,0.0001784856,0.0001843921,0.0002599609,0.00009998015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004650246,0.0001395544,0.00780693,0.001164164,0.00005794927,0.001524793,0.001899742,0.002816674,0.1188667,0.6346397,0.01607795,0.2145407],"study_design_scores_gemma":[0.00002997528,0.0005147201,0.008344706,0.0002683229,0.00002788777,0.001970267,0.001313368,0.002114569,0.0482813,0.09650408,0.8405533,0.00007753574],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2814513,0.03790047,0.1065532,0.06999119,0.002392513,0.0001245696,0.0004934773,0.0005495285,0.5005438],"genre_scores_gemma":[0.9126607,0.01309701,0.0158341,0.004193678,0.0005305471,0.00006049496,0.0001571354,0.00005070645,0.05341578],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004976503,"threshold_uncertainty_score":0.01664811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009905539555934753,"score_gpt":0.2470149228559285,"score_spread":0.2371093832999938,"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."}}