{"id":"W2581160818","doi":"10.5194/nhess-17-1003-2017","title":"Public perceptions of a rip current hazard education program: “Break the Grip of the Rip!”","year":2017,"lang":"en","type":"article","venue":"Natural hazards and earth system sciences","topic":"Coastal and Marine Dynamics","field":"Earth and Planetary Sciences","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Rip current; Signage; Hazard; Population; Geography; Current (fluid); Business; Advertising; Engineering; Environmental health; Medicine; Shore; Fishery","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":[0.002861953,0.000147046,0.0001158533,0.00031682,0.001038963,0.00122333,0.0002889206,0.0006914783,0.007365714],"category_scores_gemma":[0.005771378,0.0001161089,0.0001892412,0.0001871923,0.0005979218,0.001304528,0.001212791,0.001109679,0.0005651396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008375834,"about_ca_system_score_gemma":0.00153715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005757039,"about_ca_topic_score_gemma":0.009384501,"domain_scores_codex":[0.9989312,0.0005452083,0.00004046147,0.00005746343,0.0002513946,0.0001741706],"domain_scores_gemma":[0.9961997,0.001436159,0.0006371947,0.0001667264,0.0006336388,0.0009264667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000467386,0.007367018,0.5133575,0.001139414,0.0001084743,0.0009515285,0.07083159,0.0007006446,0.005082682,0.004317523,0.05494045,0.3407359],"study_design_scores_gemma":[0.0001039321,0.002671964,0.6665211,0.0008298134,0.0001217554,0.0003699852,0.2258776,0.001880034,0.002144887,0.0009858733,0.09842739,0.00006565838],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698207,0.0001146124,0.0005271699,0.00521356,0.0001117807,0.0001542795,0.00009827546,0.00005301731,0.02390652],"genre_scores_gemma":[0.9946082,0.0001679372,0.0006474066,0.001371207,0.00004005818,0.00007486517,0.00006716492,0.00000891047,0.003014199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007365714,"threshold_uncertainty_score":0.02464074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02319170835119076,"score_gpt":0.2685402724891257,"score_spread":0.2453485641379349,"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."}}