{"id":"W6906831486","doi":"10.18712/nsd-nsd2421-1-v1","title":"ICT in the Household, Travel and Holiday Survey, 2016, 2nd quarter","year":2019,"lang":"en","type":"dataset","venue":"NSD – Norsk senter for forskningsdata","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); The Internet; Purchasing; Norwegian; Work (physics); Internet access; Information and Communications Technology","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","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.005847971,0.001662864,0.001816697,0.00111388,0.0003236267,0.0008972058,0.004066958,0.001078466,0.0002124517],"category_scores_gemma":[0.0005578193,0.00125721,0.000449767,0.000735906,0.0004224928,0.001239489,0.0009382169,0.00177599,0.002223856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002100446,"about_ca_system_score_gemma":0.0002358078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006475285,"about_ca_topic_score_gemma":0.01540849,"domain_scores_codex":[0.9918679,0.001006703,0.001556717,0.00235484,0.001271727,0.001942106],"domain_scores_gemma":[0.9920188,0.00160681,0.001115703,0.004795113,0.0001706735,0.0002928699],"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":[0.0005580528,0.000380058,0.003236163,0.0004937617,0.0002408463,0.00004729679,0.0004668353,0.000003779731,0.00003515191,0.000008491866,0.9944479,0.00008159002],"study_design_scores_gemma":[0.004100218,0.0004815169,0.01301915,0.0005057792,0.000394746,0.0001892641,0.000407369,0.0001101242,0.00001696524,0.00008619944,0.9791907,0.001497931],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006915559,0.0003510097,0.0001454603,0.0002511249,0.001327562,0.003764003,0.9871088,0.00008242706,0.0000540017],"genre_scores_gemma":[0.00346475,0.0001623921,0.0001604589,0.001034864,0.0006113229,0.0003957579,0.9929807,0.0004483162,0.0007414393],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01525724,"threshold_uncertainty_score":0.9996119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07821914183314685,"score_gpt":0.3049327746736195,"score_spread":0.2267136328404726,"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."}}