{"id":"W2777221639","doi":"10.2112/jcoastres-d-17-00131.1","title":"Determining Beach User Knowledge of Rip Currents in Costa Rica","year":2017,"lang":"en","type":"article","venue":"Journal of Coastal Research","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Rip current; Geography; Hazard; Fishery; Shore; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.006946605,0.00006589165,0.0003638527,0.0003983584,0.0001438236,0.00001567488,0.000285857,0.0001098824,0.0000876368],"category_scores_gemma":[0.005543197,0.00005140092,0.0001160232,0.0001024878,0.0002413841,0.0002022876,0.0001666574,0.001061444,0.00001645716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005245597,"about_ca_system_score_gemma":0.000346873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002971081,"about_ca_topic_score_gemma":0.0000619156,"domain_scores_codex":[0.998202,0.0005146721,0.0005419696,0.0000952009,0.0003619331,0.0002841972],"domain_scores_gemma":[0.9980324,0.0005437964,0.0003603549,0.0002656412,0.0006651647,0.0001326814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001497184,0.0004735409,0.869611,0.0001659957,0.00006063364,0.0001767348,0.0005199352,0.000001695006,0.006443319,0.0001741808,0.00720494,0.1136708],"study_design_scores_gemma":[0.002171064,0.00143758,0.9776464,0.001252507,0.00002063673,0.0001639439,0.0001743697,0.0001623809,0.003123949,0.001107746,0.01268349,0.00005600281],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886804,0.0005666856,0.0001178472,0.0005603676,0.0003012933,0.000126852,0.000004348982,0.000001458932,0.009640774],"genre_scores_gemma":[0.9977019,0.0002327421,0.0003424859,0.00001021713,0.0001980314,0.000001715955,0.000002464084,0.000007689324,0.001502685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1136148,"threshold_uncertainty_score":0.6636124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2089156444572162,"score_gpt":0.5374646069893595,"score_spread":0.3285489625321433,"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."}}