{"id":"W4362575269","doi":"10.1038/s43247-023-00703-x","title":"Global survey shows planners use widely varying sea-level rise projections for coastal adaptation","year":2023,"lang":"en","type":"article","venue":"Communications Earth & Environment","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada; Natural Resources Canada","funders":"Natural Resources Canada; Ministry of Education, India; Earth Observatory of Singapore; Waseda University; Science Foundation Ireland; National Research Foundation Singapore; European Commission; Commonwealth Scientific and Industrial Research Organisation; Utah State University; City and County of San Francisco; Australian Government; Ministry of Education - Singapore; Utah Agricultural Experiment Station; Victoria University; National Research Foundation","keywords":"Adaptation (eye); Sea level rise; Climate change adaptation; Geography; Environmental resource management; Environmental science; Climate change; Oceanography; Geology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003691108,0.0002732206,0.0002096055,0.001777739,0.0003982307,0.0009096967,0.0002796209,0.0002654322,0.00249589],"category_scores_gemma":[0.01059091,0.0001917704,0.000282888,0.003828138,0.0004877179,0.001472453,0.001475275,0.0006044149,0.0004152803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000451231,"about_ca_system_score_gemma":0.001454706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008701458,"about_ca_topic_score_gemma":0.01857726,"domain_scores_codex":[0.9985141,0.0006513752,0.000178416,0.0001493804,0.0003580402,0.0001486091],"domain_scores_gemma":[0.9915125,0.004124953,0.002070091,0.000678162,0.001350608,0.000263714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006742383,0.00003602147,0.7885925,0.0007992775,0.0001280331,0.0002235663,0.01096575,0.002468524,0.001243372,0.00210804,0.008960729,0.1844068],"study_design_scores_gemma":[0.000008059456,0.0002269877,0.8451796,0.0007387836,0.00006812678,0.0004665922,0.07695002,0.001205484,0.0008582643,0.001340333,0.07288046,0.00007731771],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9559001,0.00189796,0.007173691,0.002649946,0.00004560837,0.0001040055,0.004407074,0.0001448089,0.02767693],"genre_scores_gemma":[0.9892959,0.003054445,0.004406987,0.0002586968,0.000009905017,0.00005459873,0.002192341,0.00002156509,0.0007055935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008701458,"threshold_uncertainty_score":0.0195207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2105602706427628,"score_gpt":0.2844583819300432,"score_spread":0.07389811128728044,"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."}}