{"id":"W2788076413","doi":"10.1017/s0047279418000028","title":"Moving In and Out of In-work Poverty in the UK: An Analysis of Transitions, Trajectories and Trigger Events","year":2018,"lang":"en","type":"article","venue":"Journal of Social Policy","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Cardiff University; Nuffield Foundation; University of Essex","keywords":"Poverty; Work (physics); Quarter (Canadian coin); Phenomenon; Working poor; Culture of poverty; Basic needs; Demographic economics; Development economics; Economics; Economic growth; Geography; Engineering","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":[0.0007668797,0.0002372855,0.0004186915,0.002885237,0.001578319,0.002488004,0.0004739478,0.0006699814,0.004091937],"category_scores_gemma":[0.003726935,0.0002891975,0.0007621559,0.004896794,0.0007687671,0.001616566,0.003847871,0.001068769,0.0006016971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002897227,"about_ca_system_score_gemma":0.002572442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1296853,"about_ca_topic_score_gemma":0.1511171,"domain_scores_codex":[0.9990944,0.0001775766,0.000112244,0.00007942352,0.0001194576,0.000417053],"domain_scores_gemma":[0.9975342,0.0004781455,0.0008921985,0.00008622208,0.0004376276,0.0005716276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002676349,0.0001521337,0.9488225,0.0002175165,0.00005416878,0.0008587241,0.0295124,0.0005179024,0.0001919833,0.0009043604,0.001998955,0.01650183],"study_design_scores_gemma":[0.000003309126,0.00006857582,0.9628126,0.0001495394,0.000009206107,0.0001202709,0.03488816,0.0002536712,0.00003547976,0.000206756,0.001436224,0.00001616403],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959918,0.0003814423,0.0001685493,0.0003773523,0.00001023072,0.00005282331,0.001631855,0.000006567109,0.001379364],"genre_scores_gemma":[0.9975332,0.0004245784,0.0001208914,0.00004856323,0.000004824534,0.0000560563,0.0009630958,0.00000550811,0.0008430615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1296853,"threshold_uncertainty_score":0.2578608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05024672741308343,"score_gpt":0.4342494475738092,"score_spread":0.3840027201607257,"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."}}