{"id":"W3210009766","doi":"10.21463/shima.114","title":"Above and Below: The distribution of mermaid, siren and sirène place names across Canada and the creation of related tourist attractions","year":2021,"lang":"en","type":"article","venue":"Shima","topic":"Historical Art and Culture Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Siren (mythology); Promotion (chess); Value (mathematics); Toponymy; Distribution (mathematics); History; Geography; Genealogy; Archaeology; Classics; Computer science; Political science; Law; Politics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002001333,0.0002065079,0.0001502959,0.001732802,0.007117646,0.00356922,0.0003838602,0.0003381251,0.01441527],"category_scores_gemma":[0.0006147584,0.0001358341,0.0001655822,0.004269491,0.00185419,0.0007726306,0.001235104,0.0006390251,0.0009076915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01006981,"about_ca_system_score_gemma":0.01232614,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9555345,"about_ca_topic_score_gemma":0.9893912,"domain_scores_codex":[0.9995827,0.00002416002,0.000007601403,0.00004394207,0.0001676521,0.0001738732],"domain_scores_gemma":[0.9995134,0.00005895885,0.00006025528,0.00001813951,0.0001923429,0.0001569099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002842934,0.00007700884,0.167259,0.001025005,0.00003107385,0.002653318,0.2006037,0.0005034439,0.01288481,0.1210857,0.1686656,0.3249272],"study_design_scores_gemma":[0.000004661324,0.00002243715,0.3963348,0.0003132778,0.00001477447,0.001031516,0.1195126,0.0002011649,0.001547309,0.001050342,0.4799067,0.00006040338],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5961593,0.008265284,0.001148538,0.006073339,0.0004408954,0.0000698955,0.005420353,0.0001740103,0.3822484],"genre_scores_gemma":[0.9175183,0.0030483,0.0009874465,0.0004646513,0.00003850759,0.00001359021,0.0007142177,0.00005454565,0.0771605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04446548,"threshold_uncertainty_score":0.08945465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008293948814693586,"score_gpt":0.2102827908471235,"score_spread":0.2019888420324299,"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."}}