{"id":"W4380876804","doi":"10.1108/pr-07-2022-0468","title":"Inside out and upside down? Perceptions of temporary employment histories in the time of COVID","year":2023,"lang":"en","type":"article","venue":"Personnel Review","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Unemployment; Coronavirus disease 2019 (COVID-19); Originality; Pandemic; Perception; Work (physics); Exploratory research; Attribution; Psychology; Demographic economics; Labour economics; Social psychology; Economics; Sociology; Medicine; Economic growth","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":[],"consensus_categories":[],"category_scores_codex":[0.001318799,0.000126955,0.0005063809,0.0000946454,0.0002912258,0.000001735327,0.0001442212,0.00004870649,0.0003552069],"category_scores_gemma":[0.0003841854,0.00008122208,0.00008690987,0.0003292096,0.0001314433,0.00006325688,0.0001263531,0.0001904868,0.0001382735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005679183,"about_ca_system_score_gemma":0.00009734862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005422075,"about_ca_topic_score_gemma":0.0004119693,"domain_scores_codex":[0.9982979,0.0005098657,0.0005844051,0.0001696273,0.0002216387,0.0002166042],"domain_scores_gemma":[0.9988758,0.0005339,0.0002146866,0.0002618484,0.00007246126,0.00004129978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002015991,0.00009899068,0.5289216,0.01417299,0.00006820738,0.000009547381,0.2092846,4.930423e-7,0.0001686775,0.0009281812,0.2438138,0.002512705],"study_design_scores_gemma":[0.001117103,0.0002763026,0.3472082,0.01414318,0.0002612879,0.000003533976,0.1235529,0.00001141772,0.000005024821,0.0009013913,0.5121024,0.0004173055],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7170605,0.1918498,0.000006765204,0.07172473,0.0004179729,0.003575654,0.0001448047,0.0001465896,0.01507314],"genre_scores_gemma":[0.7402015,0.2457776,0.00006487434,0.005235135,0.000150392,0.0007007796,0.00007710224,0.00003648925,0.007756087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2682885,"threshold_uncertainty_score":0.3889266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1006268496625793,"score_gpt":0.4151052939270543,"score_spread":0.314478444264475,"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."}}