{"id":"W6992773510","doi":"","title":"Mini-episode: Job Loss and Job Hunting in a Pandemic","year":2020,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Job loss; Job hunting; Pandemic; Attribution; Set (abstract data type); Coronavirus disease 2019 (COVID-19); Job insecurity","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":[0.0005515718,0.0005190834,0.0003214574,0.0003438077,0.004454626,0.002401208,0.0007865637,0.003673931,0.1346179],"category_scores_gemma":[0.002315982,0.0002730169,0.0003181257,0.0004845654,0.000572682,0.002169626,0.003897371,0.003588564,0.03272125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001411991,"about_ca_system_score_gemma":0.001686569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01514549,"about_ca_topic_score_gemma":0.06315269,"domain_scores_codex":[0.9996181,0.00008716876,0.0000133871,0.00002302882,0.00008724228,0.0001710909],"domain_scores_gemma":[0.9989623,0.0001259066,0.00003105567,0.00003360232,0.0001136698,0.0007334275],"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":[0.00001417598,0.0000117249,0.0001984255,0.00004929728,0.000001311909,0.0002007455,0.0006195265,0.000007888031,0.00005262061,0.000361754,0.9938811,0.00460138],"study_design_scores_gemma":[0.000007567137,0.00002480107,0.002524084,0.0001552903,0.00000231477,0.0003260429,0.003204094,0.0000209888,0.00004204926,0.0003045175,0.9933815,0.000006646829],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01425732,0.01458602,0.0007069276,0.3000852,0.07317253,0.0004567141,0.005905021,0.0008813728,0.5899489],"genre_scores_gemma":[0.0523372,0.009070027,0.00060033,0.1180267,0.02455655,0.0003130195,0.003302639,0.0006768869,0.7911166],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1346179,"threshold_uncertainty_score":0.4503418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008302339913472985,"score_gpt":0.2001904889299166,"score_spread":0.1918881490164436,"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."}}