{"id":"W6899235183","doi":"10.5880/isg.2021.006","title":"The South American gravimetric geoid: GEOID2021","year":2021,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geoid; Gravimetric analysis; Terrain; Latitude; Geopotential; Digital elevation model; Ephemeris; Global Positioning System","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":[0.0003459969,0.0007098649,0.0004912527,0.001696661,0.0004927292,0.001272151,0.001268993,0.000472528,0.03124753],"category_scores_gemma":[0.00104732,0.0003934265,0.0004484079,0.004078351,0.000193683,0.001196077,0.0009447942,0.0008650203,0.01845952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001274932,"about_ca_system_score_gemma":0.002109392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08973446,"about_ca_topic_score_gemma":0.06407843,"domain_scores_codex":[0.999685,0.00003194222,0.00002000193,0.000084618,0.0001349293,0.00004352385],"domain_scores_gemma":[0.9994506,0.00002397185,0.00003159147,0.0001023753,0.0003420163,0.00004938479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002688311,0.00009565021,0.02971216,0.0003692678,0.0001119856,0.0002094655,0.0004330609,0.03035919,0.005433223,0.01641796,0.8149991,0.1015901],"study_design_scores_gemma":[0.00006391783,0.00001413969,0.02396939,0.00005928981,0.00003146115,0.00009113278,0.0002454826,0.03844557,0.003210678,0.003841463,0.9299744,0.0000531438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.06819996,0.0004339259,0.06538416,0.001065666,0.000530707,0.0002976179,0.6902829,0.02338401,0.150421],"genre_scores_gemma":[0.1457218,0.0003671331,0.05986048,0.0002222942,0.00008770783,0.0005324457,0.7564496,0.006426238,0.03033238],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08973446,"threshold_uncertainty_score":0.1784243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0396527900149425,"score_gpt":0.3345701441240868,"score_spread":0.2949173541091443,"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."}}