{"id":"W4238281691","doi":"10.2172/973556","title":"National Carbon Sequestration Database and Geographic Information System (NatCarb)","year":2009,"lang":"en","type":"report","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Database; Geographic information system; Carbon sequestration; Geological survey; Relational database management system; Computer science; Relational database; Server; World Wide Web; Geography; Geology; Remote sensing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006214683,0.001207946,0.001808684,0.006700241,0.001399601,0.00732403,0.003540168,0.001739827,0.06672347],"category_scores_gemma":[0.0173173,0.0009510221,0.0005887179,0.01698017,0.0005016905,0.005472313,0.00360585,0.002088072,0.07657295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0033757,"about_ca_system_score_gemma":0.01597658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03282086,"about_ca_topic_score_gemma":0.01975805,"domain_scores_codex":[0.9946151,0.0007935674,0.0009386175,0.0006574069,0.002628754,0.0003665234],"domain_scores_gemma":[0.9863024,0.001562889,0.001078809,0.003327026,0.006711795,0.001017139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006374672,0.00003506479,0.00112824,0.0002714565,0.00001741693,0.00003385459,0.00008404846,0.0005956199,0.0004368858,0.007443649,0.9454955,0.04439454],"study_design_scores_gemma":[0.00003998056,0.00001299992,0.001617525,0.00007512781,0.00001213416,0.00004925165,0.00005433333,0.001180657,0.0006951938,0.001737644,0.9944925,0.00003256177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001336721,0.0005906398,0.02080571,0.00169539,0.000524543,0.0007424041,0.8832877,0.02843931,0.06257761],"genre_scores_gemma":[0.003505419,0.0005822327,0.0207958,0.0004995067,0.00007287063,0.0007622375,0.9625037,0.001648788,0.009629415],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06672347,"threshold_uncertainty_score":0.2232122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00950768209947213,"score_gpt":0.2152618915642386,"score_spread":0.2057542094647665,"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."}}