{"id":"W4391170728","doi":"10.1021/acs.iecr.3c04571","title":"Recognize Your Worth","year":2024,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Human Resource Development and Performance Evaluation","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001226231,0.001577219,0.000978661,0.002140511,0.002561464,0.01106965,0.001343109,0.003352582,0.7857929],"category_scores_gemma":[0.01223233,0.0004685049,0.0007780307,0.001590163,0.0006076455,0.005923809,0.004283431,0.00297553,0.7956375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001204142,"about_ca_system_score_gemma":0.002135144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001632835,"about_ca_topic_score_gemma":0.003215801,"domain_scores_codex":[0.9977836,0.0001799683,0.0001358375,0.0002768569,0.001242327,0.00038134],"domain_scores_gemma":[0.9934472,0.0004100876,0.0003020309,0.0006192044,0.003269798,0.001951634],"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":[0.00001476146,0.00001818489,0.0001702327,0.00004144405,0.000001669495,0.00004888,0.00006272307,0.000009533569,0.000142889,0.001547843,0.9438605,0.05408137],"study_design_scores_gemma":[0.00000346066,0.00001157465,0.0001710247,0.00004571098,0.000001692772,0.0001017557,0.0001198588,0.00002124992,0.00009839028,0.0004466375,0.9989722,0.000006614874],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.001506097,0.001682198,0.001506888,0.02270878,0.03589877,0.000316526,0.00235551,0.002548819,0.9314764],"genre_scores_gemma":[0.002100692,0.001036237,0.0006248437,0.003474576,0.002627505,0.00006595033,0.000715835,0.000730909,0.9886234],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.7857929,"threshold_uncertainty_score":0.3055404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3385412502207802,"score_gpt":0.456782900878121,"score_spread":0.1182416506573408,"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."}}