{"id":"W6955796278","doi":"10.5878/hb64-jt06","title":"QPSNordic - the General Nordic Questionnaire for Psychological and Social Factors at Work: n:995Index","year":2014,"lang":"en","type":"dataset","venue":"Swedish National Data Service","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Work & Health","funders":"","keywords":"Relevance (law); Multidisciplinary approach; Centrality; Selection (genetic algorithm); Work (physics); Process (computing); Tracking (education); Test (biology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001975721,0.0008264799,0.0007011313,0.0002770884,0.001201405,0.0003754262,0.003920699,0.000838536,0.0004069101],"category_scores_gemma":[0.0009305626,0.0006242534,0.0001606539,0.000808286,0.0003832784,0.0005906356,0.001943508,0.0009451362,0.001485817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004614361,"about_ca_system_score_gemma":0.0002494346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005546006,"about_ca_topic_score_gemma":0.005214915,"domain_scores_codex":[0.9942505,0.000466679,0.000779853,0.001806414,0.00192656,0.0007699647],"domain_scores_gemma":[0.9956157,0.0008166867,0.0007753842,0.00167849,0.0009063134,0.000207443],"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":[0.0002281358,0.0001427234,0.0006600331,0.0002319062,0.0002018558,0.000002520306,0.00003257379,0.0000144744,0.000008152855,0.000248242,0.9981073,0.0001220523],"study_design_scores_gemma":[0.001146345,0.00004587109,0.04281356,0.00007398652,0.0003297052,0.00002628629,0.0000222316,0.000318859,4.24843e-7,0.001277526,0.9532232,0.0007220199],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003152296,0.0002579359,0.0000726951,0.004001355,0.001227679,0.001130695,0.9899537,0.0001455,0.00005813121],"genre_scores_gemma":[0.002338073,0.00004537556,0.0002083708,0.005600017,0.004312007,0.0002434652,0.986972,0.000129494,0.000151249],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04488415,"threshold_uncertainty_score":0.9996209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1150419439898284,"score_gpt":0.3859217619413415,"score_spread":0.2708798179515131,"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."}}