{"id":"W6944476466","doi":"10.18712/nsd-nsd1265-3-v1","title":"Travel and Holiday Survey, 3rd quarter 2009","year":2019,"lang":"en","type":"dataset","venue":"NSD – Norsk senter for forskningsdata","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Continuance; Travel behavior; Tourism; Travel survey; Survey data collection; Falling (accident)","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":[0.001004141,0.001459058,0.001123635,0.002519658,0.0007209586,0.001756738,0.001739663,0.0008674102,0.02371977],"category_scores_gemma":[0.004654482,0.000506692,0.0008547869,0.005519224,0.0002612952,0.001024412,0.001134616,0.001277883,0.04219683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001740055,"about_ca_system_score_gemma":0.002294077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.123586,"about_ca_topic_score_gemma":0.1661679,"domain_scores_codex":[0.9989734,0.0001353991,0.0001806266,0.0002752779,0.0002618767,0.0001734319],"domain_scores_gemma":[0.9981622,0.0002209437,0.0002396934,0.0002652187,0.0009195925,0.0001924606],"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":[0.00008251131,0.00002181178,0.003114564,0.0002585608,0.00002178718,0.00002141911,0.0000282886,0.000146083,0.0000475279,0.0001779006,0.9943658,0.00171372],"study_design_scores_gemma":[0.0002759222,0.00004562981,0.07144573,0.0005055865,0.00005303994,0.0001059451,0.0005445602,0.0006555446,0.0003806009,0.0004329777,0.9254859,0.00006859907],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003901977,0.0000418906,0.00002491315,0.00004048657,0.00003323038,0.000008020115,0.9989259,0.00004873243,0.0004867653],"genre_scores_gemma":[0.0006804126,0.00004653879,0.00009735874,0.00002358305,0.000009617672,0.00004193902,0.9982299,0.00002129462,0.0008493278],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.123586,"threshold_uncertainty_score":0.2457332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03698560325131598,"score_gpt":0.289822279696374,"score_spread":0.252836676445058,"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."}}