{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001277042,0.001431562,0.001190648,0.002524207,0.0006114912,0.001709616,0.001652507,0.001050566,0.03032314],"category_scores_gemma":[0.005771432,0.0008276646,0.0009681106,0.005946915,0.0002851485,0.001082278,0.001536178,0.001291885,0.03580095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001789393,"about_ca_system_score_gemma":0.002842162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1165214,"about_ca_topic_score_gemma":0.1298449,"domain_scores_codex":[0.9988168,0.0001948205,0.0002327014,0.0002732013,0.0002754851,0.000206929],"domain_scores_gemma":[0.9980019,0.0003102595,0.0003987935,0.0002602446,0.000803685,0.0002252004],"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":[0.0001380309,0.00003820983,0.007520465,0.0006857568,0.000049494,0.00004165253,0.00008162733,0.0002782831,0.00009341072,0.0003872417,0.9882526,0.002433201],"study_design_scores_gemma":[0.0005429889,0.00007028068,0.1069222,0.0008319947,0.00009464228,0.0001282872,0.0007601353,0.0005843827,0.0004416835,0.0006403502,0.8889126,0.00007054498],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004213334,0.00004118783,0.00002509209,0.00003932049,0.00002321722,0.000009176857,0.9991018,0.00002865782,0.0003102382],"genre_scores_gemma":[0.0009664997,0.00006856293,0.0001159002,0.00002715683,0.00001093653,0.00008396181,0.9976155,0.00002114179,0.001090275],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1165214,"threshold_uncertainty_score":0.2316862,"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."}}