{"id":"W6937124406","doi":"10.5878/000415","title":"Work environment for workers in permanent and temporary employment 1997","year":2013,"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":"Sample (material); Work environment; Work (physics); Population; Temporary work; Working population; Work schedule","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":[0.001246102,0.0006708243,0.0005612999,0.0004958086,0.0001518914,0.000223395,0.002250554,0.0003593284,0.0008564928],"category_scores_gemma":[0.0001467952,0.0007090392,0.00005644823,0.0005412073,0.00009370765,0.001009198,0.002476693,0.0005635207,0.004594958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006989891,"about_ca_system_score_gemma":0.000401932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004042154,"about_ca_topic_score_gemma":0.003395892,"domain_scores_codex":[0.9950629,0.0001461916,0.0008723761,0.00160662,0.001718809,0.000593133],"domain_scores_gemma":[0.9967821,0.0004689726,0.0005120538,0.001817838,0.0001495586,0.0002694694],"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":[0.0001396116,0.0003923339,0.00159219,0.0003650283,0.0001559393,0.00001133887,0.00001927493,0.00008787015,0.000001862334,0.000009434109,0.9971018,0.000123287],"study_design_scores_gemma":[0.001277979,0.00003083681,0.01398342,0.0003503372,0.0001142824,0.000009413228,0.0001002291,0.0001721334,5.071108e-7,0.000205001,0.9830508,0.0007050289],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006461327,0.0009819209,0.000003417495,0.00202866,0.0003476826,0.002275315,0.9936344,0.00004733745,0.00003512717],"genre_scores_gemma":[0.00005334833,0.000312273,0.001076634,0.001971107,0.0005917379,0.0009576404,0.994781,0.0001299909,0.0001263127],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.014051,"threshold_uncertainty_score":0.9995361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0658817011687728,"score_gpt":0.2988830323629978,"score_spread":0.2330013311942251,"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."}}