{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001890032,0.0001508312,0.0001353689,0.0001817868,0.00009708892,0.0001886535,0.0002742781,0.0003318054,0.01090856],"category_scores_gemma":[0.0002692696,0.0001513418,0.00005975765,0.0007527429,0.00004387265,0.00007955924,0.00006982587,0.00144583,0.001788991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000166195,"about_ca_system_score_gemma":0.000184712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001764387,"about_ca_topic_score_gemma":3.277169e-7,"domain_scores_codex":[0.9981381,0.00004790396,0.0002579353,0.0003772264,0.0005841992,0.0005946747],"domain_scores_gemma":[0.9992361,0.0002427364,0.00001477942,0.0002734697,0.00008914336,0.0001437729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003048574,0.0001761909,0.004559173,0.000532209,0.0006881013,0.0006057644,0.008259775,0.001233577,0.3713896,0.0007793969,0.3110389,0.3004325],"study_design_scores_gemma":[0.0009929148,0.00006100971,0.001473271,0.0004233452,0.00001995643,0.00005124826,0.0004388998,0.004958363,0.0624248,0.00006380244,0.9286158,0.0004765889],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.956814,0.0006031119,0.0000118578,0.0003254684,0.001229542,0.0002176899,0.000009767219,0.0003238914,0.04046467],"genre_scores_gemma":[0.9491096,0.00001438123,0.0000138114,0.000005137593,0.003359269,0.0001221199,0.00006945618,0.00004832598,0.04725789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6175769,"threshold_uncertainty_score":0.9989882,"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."}}