{"id":"W6911070158","doi":"10.5255/ukda-sn-8575-3","title":"International Passenger Survey, 2019","year":2020,"lang":"en","type":"dataset","venue":"UK Data Archive","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Weighting; Quarter (Canadian coin); Subject (documents); Tourism; Data file; Coding (social sciences); Revenue","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":[0.0009552435,0.0008817989,0.0004472769,0.003510349,0.0005373064,0.00183569,0.001032042,0.0006655352,0.05949182],"category_scores_gemma":[0.003950364,0.0004243766,0.0005709773,0.009960578,0.0001685139,0.002138769,0.001035842,0.001344163,0.05884909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002311677,"about_ca_system_score_gemma":0.00265405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1328762,"about_ca_topic_score_gemma":0.1492215,"domain_scores_codex":[0.9987508,0.0001190555,0.0001724591,0.0002588727,0.0005114098,0.0001874119],"domain_scores_gemma":[0.9980838,0.000129133,0.0002456486,0.0001266141,0.001253376,0.0001614491],"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":[0.00003892489,0.00002343032,0.01213234,0.0003886986,0.00002134015,0.00001850217,0.00009167142,0.0001301488,0.00005912591,0.001193349,0.9746581,0.01124431],"study_design_scores_gemma":[0.00002881048,0.00002958658,0.1480005,0.0002809459,0.00002313191,0.0000555611,0.0005596631,0.0003006287,0.0001383337,0.0003041834,0.8502548,0.00002386312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00193645,0.0003549564,0.0001622731,0.0003230965,0.0002208814,0.00006046467,0.9735039,0.0001190031,0.02331903],"genre_scores_gemma":[0.009229885,0.0009117413,0.0006880629,0.0004369954,0.0001231615,0.0003637294,0.9448979,0.00007964169,0.04326889],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1328762,"threshold_uncertainty_score":0.2642056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07573870936696228,"score_gpt":0.3322628548534985,"score_spread":0.2565241454865362,"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."}}