{"id":"W4395680568","doi":"10.5670/oceanog.2024.231","title":"Sharing and Adapting the Homeowner’s Handbook to Prepare for Natural Hazards","year":2024,"lang":"en","type":"article","venue":"Oceanography","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Strong; Hawai'i Sea Grant, University of Hawai'i; Canadian Institute for Theoretical Astrophysics","keywords":"Outreach; Public relations; Work (physics); Natural hazard; Natural disaster; Community education; Hazard; Business; Natural resource; Political science; Engineering; Sociology; Geography; Pedagogy; Meteorology; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003583814,0.00007259914,0.00006373545,0.0001119604,0.0005645377,0.0005496843,0.0002569882,0.00002312403,0.00001328721],"category_scores_gemma":[0.00003847718,0.00004643524,0.00007970407,0.0004204788,0.0001464021,0.0002018739,0.000103491,0.00004979335,0.000004371654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009520767,"about_ca_system_score_gemma":0.00001932369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002940813,"about_ca_topic_score_gemma":0.0004225975,"domain_scores_codex":[0.9992232,0.00001930668,0.00008270825,0.0002442557,0.000185214,0.0002453257],"domain_scores_gemma":[0.9997203,0.00007379526,0.00001425915,0.0001080645,0.00002471651,0.00005890526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000796844,0.00004258815,0.04080968,0.0004509753,0.0002721554,0.0000146352,0.1627537,0.00004906972,0.0002222495,0.3075078,0.196702,0.2910955],"study_design_scores_gemma":[0.0001135842,0.00005166065,0.001425686,0.0002843558,0.00004730663,5.900441e-7,0.01479502,0.002647216,0.00003611432,0.006336818,0.974043,0.0002186188],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8613756,0.01420818,0.002824718,0.008769338,0.002546301,0.001904608,0.0000143469,0.000568507,0.1077883],"genre_scores_gemma":[0.9896365,0.00009677149,0.0003370226,0.0002512381,0.0002502058,0.00003051502,0.000001483988,0.000008388669,0.009387895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7773411,"threshold_uncertainty_score":0.5300618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01756408208478332,"score_gpt":0.306070309761184,"score_spread":0.2885062276764007,"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."}}