{"id":"W7051274203","doi":"","title":"Place Memes","year":2012,"lang":"en","type":"article","venue":"Royal Holloway Digital Repository (University of London)","topic":"Electrostatic Discharge in Electronics","field":"Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0000541772,0.0001637699,0.0002106954,0.00006234743,0.00009896822,0.00003642765,0.0002603549,0.00008594149,0.00004520845],"category_scores_gemma":[0.00001389358,0.0002063868,0.0001308535,0.0001519505,0.00008310311,0.0007482367,0.0000549925,0.0001715121,0.00009800376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001416701,"about_ca_system_score_gemma":0.00003892208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001812807,"about_ca_topic_score_gemma":0.000007479824,"domain_scores_codex":[0.9990071,0.00001366567,0.0001309565,0.0001370801,0.0002460048,0.0004651751],"domain_scores_gemma":[0.9994287,0.00006282404,0.00005282126,0.0002387429,0.00004425036,0.0001725934],"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":[0.001173553,0.0036827,0.3386829,0.002457591,0.004986748,0.0009054957,0.02358204,0.08298354,0.1326081,0.03644542,0.2526947,0.1197972],"study_design_scores_gemma":[0.008367805,0.001844152,0.06390305,0.0005212922,0.0008773436,0.0005285775,0.009032293,0.06229555,0.1738817,0.001191857,0.671766,0.005790365],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8544897,0.001193735,0.001336593,0.00001265333,0.0003083546,0.00009909389,0.00001608555,0.0002636569,0.1422801],"genre_scores_gemma":[0.9843091,0.0000243867,0.0003381924,0.000004908113,0.0000606779,3.043729e-7,0.00001218459,0.00002833694,0.01522187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4190713,"threshold_uncertainty_score":0.841621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003606576344713995,"score_gpt":0.1570260545253404,"score_spread":0.1534194781806264,"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."}}