{"id":"W6930085336","doi":"10.5255/ukda-sn-8016-4","title":"International Passenger Survey, 2016","year":2017,"lang":"en","type":"dataset","venue":"UK Data Archive","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data file; Documentation; Weighting; Subject (documents); Quarter (Canadian coin); Tourism; Coding (social sciences); Data set","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":[0.001564163,0.001259859,0.0007905437,0.004267134,0.0005853988,0.001975527,0.001464387,0.0005779752,0.08524197],"category_scores_gemma":[0.006412328,0.0006602835,0.0007998423,0.01223659,0.0002268227,0.002503218,0.001291151,0.001418078,0.08537071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002993178,"about_ca_system_score_gemma":0.004324487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1366048,"about_ca_topic_score_gemma":0.1110011,"domain_scores_codex":[0.997704,0.0002769917,0.0003198711,0.0004511471,0.000976495,0.0002716679],"domain_scores_gemma":[0.9958063,0.0003034702,0.0004672843,0.0002941688,0.002935756,0.0001929524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000432404,0.00002315123,0.008218015,0.0005283818,0.00002456692,0.00001148157,0.0001166046,0.0001529158,0.00003832304,0.001425934,0.9778447,0.01157278],"study_design_scores_gemma":[0.00002897996,0.00002308191,0.07005902,0.0004162063,0.00002556343,0.00003629785,0.0005968895,0.0002280418,0.0001119095,0.0003805424,0.9280702,0.0000231776],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001054734,0.0003000306,0.0001682031,0.0001693585,0.0001458357,0.00006037338,0.9826784,0.0001098435,0.01531332],"genre_scores_gemma":[0.00431257,0.0008466907,0.0006204581,0.0001614172,0.00006700062,0.0002943204,0.9683987,0.00008239016,0.02521632],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1366048,"threshold_uncertainty_score":0.2851628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02600506612122037,"score_gpt":0.2749374673866266,"score_spread":0.2489324012654062,"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."}}