{"id":"W6925415964","doi":"10.18712/nsd-nsd2584-2-v3","title":"Travel and Holiday Survey 2017, 2nd quarter, Person File + Wood Firing + Health & Vaccination","year":2022,"lang":"en","type":"dataset","venue":"NSD – Norsk senter for forskningsdata","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); The Internet; Norwegian; Vaccination; Work (physics); National Health Interview Survey","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":[0.001383802,0.001598975,0.001153379,0.002174946,0.0006762195,0.001638638,0.001864356,0.001185253,0.03846041],"category_scores_gemma":[0.005324232,0.0006733422,0.0009221925,0.004547564,0.0003158121,0.0009272529,0.001247263,0.001416784,0.04740065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001586203,"about_ca_system_score_gemma":0.002336971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06178732,"about_ca_topic_score_gemma":0.08735298,"domain_scores_codex":[0.9989585,0.0001971361,0.0001735031,0.0002510598,0.0002396698,0.0001800627],"domain_scores_gemma":[0.998054,0.0003449491,0.000271442,0.00032623,0.0007871149,0.0002162903],"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":[0.00007661282,0.00003594824,0.002230993,0.0003747915,0.00002364893,0.00002045165,0.00002904123,0.000166176,0.00005803248,0.0002097081,0.9953934,0.001381131],"study_design_scores_gemma":[0.0006833231,0.00006811019,0.03602494,0.0005330035,0.00005506507,0.0001118856,0.0005965409,0.0007704052,0.0003972514,0.0005912594,0.9601186,0.00004961808],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003538135,0.0000273982,0.00003143868,0.00004848119,0.00002673701,0.00001365799,0.999086,0.00005686461,0.0003556279],"genre_scores_gemma":[0.0006230833,0.00003208764,0.0001492869,0.00002733684,0.000009329186,0.00008234962,0.9983158,0.00002135401,0.0007394307],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06178732,"threshold_uncertainty_score":0.1286629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06840023896232364,"score_gpt":0.3445974789706527,"score_spread":0.276197240008329,"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."}}