{"id":"W4244939524","doi":"10.2172/875459","title":"NATional CARBon Sequestration Database and Geographic Information System (NATCARB)","year":2006,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Milestone; Documentation; Carbon sequestration; Database; National laboratory; Data access layer; Information system; Quarter (Canadian coin); Geographic information system; Metadata; Geography; Computer science; Library science; Environmental science; World Wide Web; Engineering; Cartography; Archaeology; Operating system; Data modeling","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":[0.002610839,0.001035147,0.001380637,0.006406188,0.0009526559,0.003882785,0.002006705,0.001052875,0.06882667],"category_scores_gemma":[0.009790493,0.0006845839,0.0004532736,0.01632842,0.0002591835,0.003327866,0.001966739,0.001619729,0.0715664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002063312,"about_ca_system_score_gemma":0.00863465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04062627,"about_ca_topic_score_gemma":0.02973337,"domain_scores_codex":[0.9977334,0.0002184593,0.0004059131,0.0002859703,0.001210937,0.0001452929],"domain_scores_gemma":[0.9940237,0.0005659756,0.0006475345,0.001105576,0.003310894,0.0003462228],"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":[0.00003730575,0.00002150704,0.001047066,0.0002148117,0.0000114704,0.00002377547,0.00004843716,0.0003443708,0.0002490474,0.005395121,0.9671063,0.02550077],"study_design_scores_gemma":[0.00002235961,0.000006164175,0.001953736,0.00006884342,0.00001123378,0.00003839388,0.00004321056,0.0006310358,0.0006727086,0.001349317,0.9951817,0.00002125364],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007691468,0.0003195839,0.00777507,0.000555981,0.0002173785,0.0002602846,0.9348443,0.008210909,0.04704738],"genre_scores_gemma":[0.002449642,0.0004942571,0.01463129,0.0002026235,0.00003311468,0.0004287361,0.9722983,0.0008688786,0.008593109],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06882667,"threshold_uncertainty_score":0.2302482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01579059565144899,"score_gpt":0.2419513452761921,"score_spread":0.2261607496247431,"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."}}