{"id":"W2965594265","doi":"","title":"MONITORING SEA-LEVEL CHANGE IN THE CARIBBEAN","year":2019,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Climate change; Caribbean region; Subsidence; Sea level; Sea level rise; Physical geography; Oceanography; Climatology; Geology; Political science; Geomorphology; Latin Americans","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":[0.0004487167,0.0002340211,0.0002207627,0.002427668,0.0005843969,0.0009827797,0.0004865948,0.0003498855,0.0008032243],"category_scores_gemma":[0.002005493,0.000117447,0.0001419411,0.00428767,0.0001744134,0.0003654801,0.000688525,0.0002140489,0.0002090299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001743824,"about_ca_system_score_gemma":0.001468592,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6234456,"about_ca_topic_score_gemma":0.7785196,"domain_scores_codex":[0.9996909,0.00004641374,0.00002812876,0.00006822671,0.0001146608,0.00005167729],"domain_scores_gemma":[0.9989557,0.0000780008,0.0001968067,0.000049567,0.0005651868,0.0001546596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000133497,0.00005488461,0.9152729,0.0001932338,0.0001819951,0.0003586904,0.001821295,0.001320753,0.006369383,0.0003397877,0.002957889,0.07099578],"study_design_scores_gemma":[0.00001291264,0.00002947053,0.9843234,0.00009451098,0.00005617358,0.00007310964,0.001547168,0.001404284,0.0005713954,0.00007937913,0.01179288,0.00001537867],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706595,0.002262849,0.0004060478,0.000462043,0.00001720822,0.00009360092,0.00568212,0.00005548856,0.02036124],"genre_scores_gemma":[0.9913697,0.002586269,0.001375862,0.0001187987,0.00001474966,0.00008147018,0.002853074,0.00001551619,0.001584452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6234456,"threshold_uncertainty_score":0.7575439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03340840655958714,"score_gpt":0.2386871404375012,"score_spread":0.2052787338779141,"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."}}