{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001492861,0.0004245024,0.0004200832,0.0003595918,0.007960735,0.003581381,0.00369353,0.0004215839,0.09493899],"category_scores_gemma":[0.003566645,0.0004983249,0.0001317728,0.002336693,0.0006411137,0.0008553776,0.002199149,0.00101513,0.1194287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006466287,"about_ca_system_score_gemma":0.00009203055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002497888,"about_ca_topic_score_gemma":0.00005319417,"domain_scores_codex":[0.9942896,0.001679555,0.000674913,0.00113366,0.001453991,0.0007682325],"domain_scores_gemma":[0.995792,0.00007557389,0.0005374589,0.00113963,0.001765195,0.0006900974],"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":[0.00006006012,0.0002969166,2.648352e-7,0.0001142589,0.00007977705,0.00002249952,0.004866635,0.000008664559,0.00004644806,0.003110067,0.9687895,0.02260492],"study_design_scores_gemma":[0.0004471622,0.0002437846,0.00002808778,0.00007744449,0.00008105244,0.000009441452,0.006719276,0.00004508572,0.00001552314,0.000357845,0.9914512,0.0005240737],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001067084,0.0001798849,0.0005995671,0.009396024,0.004168637,0.001699927,0.7269784,0.0011783,0.2556926],"genre_scores_gemma":[0.004332928,0.001533372,0.0001758633,0.001730046,0.003710147,1.798572e-7,0.9784967,0.001892773,0.008127983],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2515183,"threshold_uncertainty_score":0.9997469,"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."}}