{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004152537,0.0001344068,0.0002596175,0.0004620609,0.003257449,0.003779397,0.0004822566,0.001006832,0.004659241],"category_scores_gemma":[0.01343459,0.0002552954,0.000232234,0.0003583101,0.003229075,0.002283248,0.003423114,0.002254309,0.000337597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001381006,"about_ca_system_score_gemma":0.001179753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008318122,"about_ca_topic_score_gemma":0.01288457,"domain_scores_codex":[0.9978997,0.0009162031,0.00009750658,0.0001847067,0.0003855471,0.0005162776],"domain_scores_gemma":[0.991641,0.002679467,0.002573829,0.0003747581,0.0005809385,0.002149955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005658973,0.0003286279,0.5619373,0.0001450015,0.00004718998,0.000935221,0.4017758,0.0001382039,0.001721663,0.003476758,0.00225141,0.02667685],"study_design_scores_gemma":[0.000006207561,0.0002511416,0.3667661,0.0001166401,0.000009795936,0.0001983581,0.6265997,0.0001389803,0.0002866374,0.0006012617,0.004981776,0.00004336736],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961613,0.0001543631,0.0001553201,0.00100518,0.00004859218,0.000006687033,0.00002690958,0.000002144364,0.002439431],"genre_scores_gemma":[0.9992744,0.00006601562,0.00003626878,0.0002001195,0.00001357648,0.000005180486,0.0000120232,0.000001703888,0.0003907253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008318122,"threshold_uncertainty_score":0.02196097,"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."}}