{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002078348,0.0006916857,0.0008646818,0.0006881716,0.0009723809,0.0007072464,0.003278858,0.0002562756,0.00268603],"category_scores_gemma":[0.0004400081,0.0007491269,0.0001832609,0.0005927873,0.00005962659,0.001518012,0.002215789,0.001090069,0.00003238057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004815675,"about_ca_system_score_gemma":0.0002973095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003214375,"about_ca_topic_score_gemma":0.001537164,"domain_scores_codex":[0.9945781,0.0004238846,0.0007063659,0.001913738,0.001053994,0.00132397],"domain_scores_gemma":[0.9956629,0.0008159826,0.0007023702,0.002205577,0.0001980127,0.0004151248],"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":[0.00004364634,0.0001081297,0.00001463994,0.000494264,0.00006788749,0.00002067233,0.0004434027,0.00002408719,0.000002977241,0.000009318458,0.9829776,0.01579343],"study_design_scores_gemma":[0.001757625,0.001099669,0.002880079,0.0001939347,0.00002187187,0.0001850553,0.0002375097,0.02381101,0.00001430144,0.0001263352,0.968682,0.0009906217],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000383749,0.0004646046,0.123156,0.0007307118,0.0009673087,0.001141912,0.8733777,0.0001128495,0.00001058792],"genre_scores_gemma":[0.00005976535,0.0002796122,0.01337467,0.0003485388,0.0002223989,0.0004225145,0.9841389,0.00007664469,0.001076966],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1107612,"threshold_uncertainty_score":0.999496,"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."}}