{"id":"W4389202805","doi":"10.13169/workorgalaboglob.17.2.0047","title":"Work on through the storm","year":2023,"lang":"en","type":"article","venue":"Work Organisation Labour & Globalisation","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Quarter (Canadian coin); Fell; Work (physics); Position (finance); Balance (ability); Coronavirus disease 2019 (COVID-19); Storm; Power (physics); Labour economics; Demographic economics; Economics; Business; Geography; Engineering; Finance; Psychology; Medicine","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":[0.006759483,0.0006136172,0.0007029283,0.00175294,0.01545341,0.01339499,0.001324876,0.003185753,0.05169484],"category_scores_gemma":[0.01737731,0.0004761919,0.0006100319,0.001609789,0.01422929,0.02167471,0.0124356,0.005181699,0.01082841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00565582,"about_ca_system_score_gemma":0.01098939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0172801,"about_ca_topic_score_gemma":0.02411355,"domain_scores_codex":[0.9926203,0.004196896,0.0002104554,0.000691965,0.0010484,0.001231834],"domain_scores_gemma":[0.9918194,0.002991415,0.0008791687,0.0008697718,0.001666853,0.001773382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000766388,0.00006752478,0.005149262,0.000519589,0.00002211038,0.001218103,0.6772614,0.0001414309,0.0006349782,0.1072369,0.1500489,0.05762321],"study_design_scores_gemma":[0.00001231071,0.00005033513,0.001231923,0.0007179425,0.000007440649,0.0002847888,0.3395852,0.00007413475,0.0001486293,0.01560436,0.6422558,0.00002718911],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.205589,0.01007598,0.0143038,0.2019808,0.008502705,0.0004817308,0.0009044486,0.0005292867,0.5576323],"genre_scores_gemma":[0.7148277,0.006507074,0.003500069,0.02549182,0.0007803545,0.0003289085,0.0003824101,0.000710582,0.2474712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05169484,"threshold_uncertainty_score":0.1729364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02505806138968031,"score_gpt":0.2744316500397926,"score_spread":0.2493735886501123,"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."}}