{"id":"W6985811881","doi":"","title":"Place Memes","year":2012,"lang":"en","type":"report","venue":"Royal Holloway Digital Repository (University of London)","topic":"Legal and Regulatory Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Tourism; Indigenous; Toponymy; Order (exchange); Reflection (computer programming)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004953574,0.0003291627,0.0007571459,0.0001991735,0.001063259,0.000167292,0.0008248709,0.0006702809,0.0004370227],"category_scores_gemma":[0.0001320829,0.0003627918,0.0009531179,0.0003915673,0.001011143,0.0009062899,0.0002597363,0.0004025798,0.0001522638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000630582,"about_ca_system_score_gemma":0.00205732,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008575713,"about_ca_topic_score_gemma":0.001239542,"domain_scores_codex":[0.9965667,0.0001550322,0.0003189316,0.0005005336,0.001912762,0.0005460226],"domain_scores_gemma":[0.9976394,0.0001384124,0.0006479979,0.0004799943,0.0006373764,0.0004568303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007585259,0.002910445,0.193788,0.002017919,0.008162739,0.00303341,0.03723523,0.0004997676,0.0002721388,0.005971727,0.65143,0.0939201],"study_design_scores_gemma":[0.0002440747,0.00004825901,0.00366793,0.0001344616,0.0004963233,0.00001113218,0.003900383,0.000007264309,0.00004045747,0.00003618319,0.99093,0.0004835691],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06731581,0.00223149,0.00003176475,0.0001066565,0.001611229,0.0002121061,0.00008558582,0.0001493215,0.928256],"genre_scores_gemma":[0.5184121,0.0001912797,0.00003002487,0.000003712785,0.0005593844,2.244594e-7,0.00003411249,0.00001806232,0.4807512],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4510962,"threshold_uncertainty_score":0.9998824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01988534968200838,"score_gpt":0.2301602127296813,"score_spread":0.210274863047673,"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."}}