{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06117726,0.0006743261,0.0006257556,0.002218697,0.007265691,0.00748386,0.002116245,0.00358159,0.008730586],"category_scores_gemma":[0.08055555,0.0008956839,0.0005563675,0.001689456,0.004300941,0.01160963,0.01980504,0.005077898,0.001572586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00457371,"about_ca_system_score_gemma":0.01455915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00258958,"about_ca_topic_score_gemma":0.006088457,"domain_scores_codex":[0.9577039,0.03477086,0.001101227,0.001634111,0.002040112,0.002749648],"domain_scores_gemma":[0.9000313,0.07504474,0.002911545,0.003767906,0.008961667,0.009282737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001132101,0.0005298821,0.01017775,0.00138787,0.0000242525,0.001523286,0.8286058,0.0004934006,0.002560013,0.005445926,0.01023544,0.1389032],"study_design_scores_gemma":[0.00005777659,0.0003033647,0.003903526,0.001535548,0.00003430618,0.0004674338,0.8640091,0.001343772,0.0009560091,0.008741753,0.1185683,0.00007898005],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8095221,0.0021327,0.0530756,0.07455758,0.001265775,0.001953702,0.0002245999,0.0003684296,0.05689952],"genre_scores_gemma":[0.9478,0.002086396,0.03240262,0.009341972,0.0001181453,0.00138972,0.000158495,0.0001727276,0.006529791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06117726,"threshold_uncertainty_score":0.3235401,"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."}}