{"id":"W3165787905","doi":"","title":"Correspondence Between Beach User Perception and Rip Currents in Prince Edward Island","year":2019,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Rip current; Perception; Geography; History; Cartography; Archaeology; Geology; Shore; Oceanography; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003960722,0.0001389072,0.0001688016,0.00008192284,0.0000325875,0.00004673502,0.000104925,0.0001147499,0.0000260586],"category_scores_gemma":[0.00008021687,0.000149611,0.00002331047,0.0001051072,0.0000176772,0.0001902263,0.00003160882,0.0003125195,0.0002433357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005434863,"about_ca_system_score_gemma":0.00001198053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004074149,"about_ca_topic_score_gemma":0.0005815828,"domain_scores_codex":[0.9990315,0.00003385887,0.0002921995,0.0002129387,0.0001895156,0.0002399669],"domain_scores_gemma":[0.9995481,0.0001500797,0.00004567554,0.0001463381,0.00002669443,0.00008311896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007602812,0.00001097724,0.9840581,0.00009512156,0.000005569029,0.000003557861,0.0004495188,0.008218933,0.0009519276,0.000004462363,0.0002578512,0.005936371],"study_design_scores_gemma":[0.0004037051,0.00001468317,0.9893711,0.0002435629,0.000005898317,0.000003266483,0.00006636829,0.00416919,0.0001285177,0.00002475933,0.005385782,0.0001832321],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840516,0.00008147922,0.0000429073,0.00003770231,0.0002474683,0.0001821302,0.000009020675,0.0001134205,0.01523427],"genre_scores_gemma":[0.9987751,0.00004040134,0.0003573489,0.0000254478,0.00007316921,0.000005201313,0.00004164255,0.0000196406,0.0006620173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01472353,"threshold_uncertainty_score":0.6100959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01088580074911965,"score_gpt":0.2439013964653043,"score_spread":0.2330155957161847,"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."}}