{"id":"W2501840455","doi":"10.4324/9780203579084-13","title":"Temporary employment","year":2004,"lang":"en","type":"book-chapter","venue":"","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Business","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":[0.0003546358,0.0004506963,0.0002767977,0.001435262,0.003817993,0.003532649,0.001097554,0.00111555,0.1372706],"category_scores_gemma":[0.0008760285,0.0001988804,0.0002645726,0.00264847,0.001295644,0.00197316,0.001574152,0.001324015,0.05189351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01105181,"about_ca_system_score_gemma":0.01177819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2464331,"about_ca_topic_score_gemma":0.5054213,"domain_scores_codex":[0.9995031,0.00003172845,0.0000109755,0.00006255791,0.0002649385,0.0001266484],"domain_scores_gemma":[0.9996107,0.0000382225,0.0000116482,0.00003217187,0.0001995717,0.0001076693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000005367653,0.00001344436,0.0001785794,0.0001367643,8.577931e-7,0.00006785585,0.001361579,0.00004978716,0.00008995495,0.09603432,0.7373233,0.1647382],"study_design_scores_gemma":[3.077984e-7,0.000001661936,0.0002155473,0.00006429095,3.644431e-7,0.00003778155,0.0001670011,0.000006744998,0.00001647863,0.00114418,0.9983443,0.000001411301],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0004350739,0.006415978,0.0003881798,0.001263554,0.0005355211,0.00003426503,0.0003107077,0.00008595632,0.9905307],"genre_scores_gemma":[0.003940311,0.006197984,0.0004220127,0.0005055804,0.00008125765,0.00001794316,0.0002903132,0.000046626,0.9884979],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2464331,"threshold_uncertainty_score":0.4899974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09232645318250918,"score_gpt":0.3894447911181754,"score_spread":0.2971183379356662,"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."}}