{"id":"W4385576349","doi":"10.3390/electronics12153339","title":"COVID-19 Impacts on the IT Job Market: A Massive Job Ads Analysis","year":2023,"lang":"en","type":"article","venue":"Electronics","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Coronavirus disease 2019 (COVID-19); Job analysis; Pandemic; Work (physics); Job market; Business; Job satisfaction; Marketing; Labour economics; Economics; Engineering; Geography; Management; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002130024,0.0001182676,0.0001568774,0.0002781862,0.0008487612,0.0002041948,0.0003636829,0.00009892799,0.005158682],"category_scores_gemma":[0.003788996,0.0000839132,0.0001648586,0.003041311,0.00009918669,0.0001948549,0.00003359608,0.0002432808,0.0007114321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006602024,"about_ca_system_score_gemma":0.001742173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000245154,"about_ca_topic_score_gemma":0.004631698,"domain_scores_codex":[0.9980232,0.00028329,0.0001990291,0.0001485667,0.0006435906,0.0007023064],"domain_scores_gemma":[0.9985375,0.0005579336,0.0001189194,0.0002874116,0.00006381368,0.0004344568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004379883,0.00001584412,0.0005305395,0.000008123178,0.0003014251,0.000004953445,0.0474231,0.0008857899,0.00003654746,0.07321386,0.8754795,0.002056556],"study_design_scores_gemma":[0.0002672195,0.0001076824,0.009953236,0.000006074422,0.0001230458,6.037937e-7,0.01223407,0.002831834,0.00006325448,0.003124238,0.9710769,0.0002118059],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2708602,0.0004438614,0.0003530888,0.2558268,0.000232693,0.0006323462,0.00003625195,0.0004647898,0.4711499],"genre_scores_gemma":[0.9500987,0.00236375,0.00001050346,0.01565097,0.0001355631,0.000007817844,0.00001695479,0.00001177756,0.03170395],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6792385,"threshold_uncertainty_score":0.9957507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0327823526981425,"score_gpt":0.3475672175649471,"score_spread":0.3147848648668046,"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."}}