{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002890758,0.0003552233,0.0002916422,0.001637046,0.004250888,0.005210184,0.001401343,0.002408081,0.02182954],"category_scores_gemma":[0.008410261,0.000231313,0.0002903476,0.00135968,0.01880607,0.008966354,0.005431307,0.002124894,0.002825697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002478416,"about_ca_system_score_gemma":0.001565548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002670739,"about_ca_topic_score_gemma":0.003308134,"domain_scores_codex":[0.9974008,0.001075893,0.0001214214,0.0003974878,0.0007325506,0.0002718932],"domain_scores_gemma":[0.9965893,0.001350649,0.0003358983,0.0009568948,0.0005015977,0.0002656821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001143562,0.00000775098,0.0004985075,0.00006562091,0.000004201614,0.0001887172,0.01723339,0.00006382489,0.0002036612,0.9610667,0.007657841,0.01299833],"study_design_scores_gemma":[0.000006939492,0.00002558499,0.001545482,0.0002389159,0.000007042611,0.0006088477,0.0237562,0.0001751253,0.0006038215,0.2248989,0.7481121,0.0000209925],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03506211,0.002367625,0.02130099,0.01850414,0.00107561,0.0001189218,0.0005455086,0.0001918216,0.9208332],"genre_scores_gemma":[0.8491616,0.001778622,0.008584128,0.003866845,0.0004962943,0.0002407735,0.0003681764,0.0001530198,0.1353505],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02182954,"threshold_uncertainty_score":0.07302713,"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."}}