{"id":"W6936947529","doi":"10.5878/000046","title":"Class structure in Sweden 1980","year":2013,"lang":"en","type":"dataset","venue":"Swedish National Data Service","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social class; Class (philosophy); Politics; Spouse; Government (linguistics); Unemployment; Political structure; Survey data collection; Working class","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","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000904015,0.000860434,0.0007589132,0.001040449,0.0001430352,0.0004379381,0.00800965,0.0008874083,0.007034999],"category_scores_gemma":[0.001098957,0.0008928274,0.00006349625,0.002260217,0.00008585827,0.002382901,0.003820864,0.00185766,0.03801154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007964001,"about_ca_system_score_gemma":0.001374344,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01304343,"about_ca_topic_score_gemma":0.130526,"domain_scores_codex":[0.9927562,0.0002871752,0.001028157,0.001893259,0.003242112,0.0007930821],"domain_scores_gemma":[0.9935588,0.0004227507,0.0007268633,0.003665322,0.001351983,0.0002742719],"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":[0.00003653357,0.0001498321,0.00003372069,0.0004219751,0.0001305109,0.00004726865,0.00001437784,0.0001034898,0.00004339779,0.000215861,0.9987706,0.00003245421],"study_design_scores_gemma":[0.0009572473,0.00001192345,0.005097523,0.0002010191,0.000101681,0.00004912044,0.00003852114,0.001258342,0.000002337513,0.001825775,0.9895568,0.0008997204],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002323518,0.0002546176,3.557037e-7,0.001468432,0.001152185,0.0009179863,0.9952998,0.0001158603,0.0005583715],"genre_scores_gemma":[0.0001013726,0.00006915738,0.0003445506,0.005143741,0.001951686,0.00008204416,0.9920372,0.00016072,0.0001094626],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1174826,"threshold_uncertainty_score":0.9993522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06632963669841423,"score_gpt":0.3321224367227216,"score_spread":0.2657928000243074,"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."}}