{"id":"W4392134817","doi":"10.1016/j.cliser.2024.100452","title":"Practitioner needs to adapt to Sea-Level Rise: Distilling information from global workshops","year":2024,"lang":"en","type":"article","venue":"Climate Services","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Nova Scotia","funders":"FP7 Coordination of Research Activities; Waseda University; European Commission; City and County of San Francisco; Utah State University","keywords":"Computer science; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001584617,0.0001461537,0.0001000457,0.00005757051,0.000133615,0.0004311775,0.0002492692,0.00004560732,0.001379733],"category_scores_gemma":[0.000004218924,0.0001284138,0.00003747771,0.0006470157,0.00001293028,0.001469175,0.000475958,0.00007013667,0.01126031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002108448,"about_ca_system_score_gemma":0.000005893683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002860666,"about_ca_topic_score_gemma":0.002704805,"domain_scores_codex":[0.9989353,0.00001763348,0.000213962,0.0002123946,0.0003319101,0.0002887943],"domain_scores_gemma":[0.9995632,0.00002639144,0.00004197368,0.0002067807,0.000008977612,0.0001526406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003157605,0.0003132384,0.06506269,0.0009138349,0.0002828591,0.0000620373,0.02044154,0.1914251,0.001100654,0.01022123,0.1548942,0.5549668],"study_design_scores_gemma":[0.0001780525,0.00006198846,0.1610161,0.0002454071,0.00008057224,0.00000112947,0.004094305,0.04333182,0.0001068134,0.0009909798,0.7894951,0.0003978022],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7881905,0.000290001,0.0621946,0.01762596,0.002672519,0.0014048,0.001335511,0.000803168,0.1254829],"genre_scores_gemma":[0.9858658,0.0001036082,0.01067723,0.00262868,0.0001280968,0.00005938181,0.0003050068,0.0000127326,0.0002195074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6346008,"threshold_uncertainty_score":0.9995331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01116953537558684,"score_gpt":0.2618091380538779,"score_spread":0.2506396026782911,"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."}}