{"id":"W7108658648","doi":"10.18712/nsd-nsd0812-v2","title":"Omnibus Study No. 1 2004","year":2025,"lang":"","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); Christian ministry; Tourism; Information and Communications Technology; Section (typography); Health care","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":[0.005940109,0.001088603,0.001642818,0.00476014,0.001117356,0.003323178,0.002854628,0.001321428,0.1261215],"category_scores_gemma":[0.02894033,0.001395607,0.00119383,0.01449623,0.0004224569,0.001573174,0.002169328,0.002076366,0.08529304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00250146,"about_ca_system_score_gemma":0.008556874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07963701,"about_ca_topic_score_gemma":0.06767348,"domain_scores_codex":[0.9914159,0.002262173,0.001320756,0.001442,0.002645789,0.0009133394],"domain_scores_gemma":[0.9873415,0.003432988,0.0018799,0.002533272,0.004074279,0.0007381074],"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":[0.00009406356,0.00003104153,0.002075979,0.000532477,0.00004383858,0.00002436926,0.00006292164,0.0001215646,0.00003327823,0.00134629,0.9909884,0.004645647],"study_design_scores_gemma":[0.000152865,0.00002826883,0.0121022,0.0003410667,0.0000468713,0.00005044546,0.0001646051,0.00009509581,0.00008715629,0.0007826185,0.9861261,0.00002271902],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002472276,0.00009318628,0.0002322106,0.0001293557,0.00006932569,0.00008744587,0.9961247,0.00009548961,0.002921015],"genre_scores_gemma":[0.001268229,0.0001841926,0.001121187,0.0001509603,0.00003858215,0.001026481,0.9882413,0.0001886581,0.007780361],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1261215,"threshold_uncertainty_score":0.4219185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02150947570758073,"score_gpt":0.3245080173260717,"score_spread":0.3029985416184909,"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."}}