{"id":"W4393454220","doi":"10.5281/zenodo.3961007","title":"Wikidata Dump Vancouver tourism","year":2020,"lang":"zh","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Geography; World Wide Web; Business; Computer science; Archaeology","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":[0.0005929221,0.00220394,0.0009634551,0.005415929,0.001176924,0.002464873,0.001894192,0.001229546,0.07790158],"category_scores_gemma":[0.003591976,0.0008574324,0.001278538,0.007064541,0.0004794667,0.002715076,0.002615424,0.002445829,0.09964603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001532844,"about_ca_system_score_gemma":0.003216376,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07624979,"about_ca_topic_score_gemma":0.141069,"domain_scores_codex":[0.9992987,0.00007864721,0.00008387048,0.0002056626,0.0002293417,0.0001038134],"domain_scores_gemma":[0.9985058,0.000324901,0.0001005735,0.0003878463,0.0004998464,0.0001810534],"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":[0.0000271834,0.00001061735,0.0002724663,0.0003913181,0.00001474436,0.00002225202,0.00004695575,0.0001249456,0.0002072672,0.0006666373,0.9962581,0.001957628],"study_design_scores_gemma":[0.00005798369,0.000008011091,0.002314608,0.0001699521,0.00001543754,0.00005571257,0.0001654701,0.0004361345,0.0005587004,0.0009134713,0.9952776,0.00002688096],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002036294,0.0000271837,0.0001516578,0.00005767167,0.0000478719,0.00001699948,0.9958028,0.00136109,0.002331051],"genre_scores_gemma":[0.0003128437,0.00003217563,0.0003571069,0.00002895088,0.000004406274,0.00004620914,0.9976884,0.0002648891,0.001264942],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9237502,"threshold_uncertainty_score":0.2606067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04068142987684618,"score_gpt":0.2915332993144591,"score_spread":0.250851869437613,"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."}}