{"id":"W4375856822","doi":"10.32920/22780118","title":"Determining participation eligibility for amusement attractions","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Recreation, Leisure, Wilderness Management","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Amusement; Liability; Recreation; Affect (linguistics); Business; Theme park; Actuarial science; Marketing; Psychology; Risk analysis (engineering); Political science; Social psychology; Law; Finance; Tourism","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005811339,0.0004257861,0.0004720973,0.003871998,0.002176633,0.00192869,0.001443322,0.001094482,0.02142062],"category_scores_gemma":[0.02593895,0.0003202928,0.0008412608,0.0009347051,0.000616358,0.00125887,0.003191413,0.0008030155,0.006628062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001193651,"about_ca_system_score_gemma":0.002630149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0105042,"about_ca_topic_score_gemma":0.01927775,"domain_scores_codex":[0.9942172,0.001503826,0.0005258019,0.0004570133,0.002137522,0.001158759],"domain_scores_gemma":[0.9868942,0.004163057,0.00190032,0.0006995401,0.004588602,0.001754222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001813693,0.001333833,0.6890262,0.0004797165,0.00007666992,0.001031649,0.009458284,0.003590097,0.007557166,0.01809458,0.04234204,0.2251959],"study_design_scores_gemma":[0.00008023915,0.001476514,0.8995904,0.0004671363,0.00006141533,0.0006511081,0.009096073,0.008444333,0.00374884,0.004604123,0.0716902,0.00008964797],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8647555,0.0002374692,0.01668236,0.001223473,0.0001107966,0.002970242,0.003533198,0.0002608492,0.1102262],"genre_scores_gemma":[0.9524436,0.000195232,0.01570738,0.0003598631,0.0000856866,0.003055573,0.003492845,0.00006629233,0.0245935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02142062,"threshold_uncertainty_score":0.07165915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2821704962068521,"score_gpt":0.5075339524017795,"score_spread":0.2253634561949274,"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."}}