{"id":"W6930173464","doi":"10.5255/ukda-sn-8286-3","title":"International Passenger Survey, 2017","year":2018,"lang":"en","type":"dataset","venue":"UK Data Archive","topic":"Marine Toxins and Detection Methods","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Weighting; Quarter (Canadian coin); Subject (documents); Tourism; Data file; Variable (mathematics); Data set; Set (abstract data type)","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":[0.001874193,0.001106415,0.000763803,0.003771947,0.0005923296,0.002099327,0.001446372,0.0006148226,0.0862168],"category_scores_gemma":[0.007649533,0.0006451237,0.0006463985,0.01125381,0.0002532392,0.00249698,0.001518785,0.001753649,0.08942495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003504258,"about_ca_system_score_gemma":0.006458721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.127849,"about_ca_topic_score_gemma":0.1087456,"domain_scores_codex":[0.9975236,0.0003448123,0.0003073893,0.0004046754,0.001074813,0.0003446131],"domain_scores_gemma":[0.9952814,0.0003488457,0.0004323783,0.0003062386,0.003355823,0.0002753306],"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":[0.00003046762,0.00001682315,0.004684307,0.0002950142,0.00001272045,0.000007885816,0.00006932272,0.00008261786,0.00002202984,0.001184472,0.9853753,0.008219074],"study_design_scores_gemma":[0.00003142519,0.0000191184,0.04683036,0.0003791881,0.00001749687,0.00002789106,0.0005541213,0.0001596964,0.00009570053,0.0004094685,0.951458,0.00001762721],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009918544,0.0003522767,0.0001897612,0.0003577744,0.000273252,0.00009227105,0.9787439,0.0001138887,0.01888508],"genre_scores_gemma":[0.003961106,0.001003571,0.0005967062,0.000286798,0.0001202592,0.0004411764,0.9672185,0.00009788325,0.02627399],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.127849,"threshold_uncertainty_score":0.288424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06825944235644398,"score_gpt":0.3499883946141667,"score_spread":0.2817289522577227,"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."}}