{"id":"W4307864281","doi":"10.46610/rrhrlm.2022.v03i02.005","title":"Employment Status: The Pandemic Situation in India","year":2022,"lang":"en","type":"article","venue":"Research and Review Human Resource and Labour Management","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Unemployment; Poverty; Agriculture; Tourism; Quarter (Canadian coin); Economic growth; Development economics; Socioeconomics; Business; Coronavirus disease 2019 (COVID-19); Geography; Economics; Medicine; Disease; Infectious disease (medical specialty)","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":[0.0006191198,0.0002007274,0.0002391338,0.001448852,0.00204074,0.002107687,0.0007845945,0.0007142734,0.004533011],"category_scores_gemma":[0.0008869037,0.0001833451,0.0002793332,0.003190117,0.0009298167,0.0009833913,0.001679836,0.001163267,0.0006828757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002426943,"about_ca_system_score_gemma":0.006011993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03717004,"about_ca_topic_score_gemma":0.04280657,"domain_scores_codex":[0.999307,0.0001004847,0.00006620244,0.00005460918,0.0001670759,0.000304506],"domain_scores_gemma":[0.9992129,0.0001243341,0.0001936311,0.00002244294,0.000203508,0.0002432114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003397197,0.0004761437,0.3629458,0.009031506,0.000160357,0.02176766,0.04733998,0.0008213008,0.002524638,0.02690855,0.1024382,0.4252461],"study_design_scores_gemma":[0.00002219717,0.0002571541,0.5510807,0.005684659,0.0001194863,0.01241568,0.1186658,0.0003241201,0.0005288114,0.003667674,0.3070979,0.0001358504],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6577824,0.1421392,0.0004449994,0.08371652,0.002320564,0.0001836873,0.003212603,0.0000954802,0.1101046],"genre_scores_gemma":[0.8903436,0.09648133,0.0002844448,0.006008217,0.0007043203,0.00006865463,0.0008528045,0.00001996185,0.005236755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03717004,"threshold_uncertainty_score":0.07390738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09939350642435063,"score_gpt":0.3524375865563087,"score_spread":0.2530440801319581,"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."}}