{"id":"W4323306885","doi":"10.1021/cen-10108-feature3","title":"Career Ladder: Kerisha Bowen","year":2023,"lang":"en","type":"article","venue":"C&EN Global Enterprise","topic":"Research in Social Sciences","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sociology","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":["insufficient_payload"],"category_scores_codex":[0.001697611,0.0001237729,0.0001633728,0.00005726732,0.000746818,0.0003224937,0.001100573,0.0001397758,0.001064414],"category_scores_gemma":[0.001306515,0.0001175068,0.0001289952,0.001733308,0.0006794215,0.0004036037,0.0003243282,0.0001422296,0.002426511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004513484,"about_ca_system_score_gemma":0.000424483,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007610277,"about_ca_topic_score_gemma":0.003877505,"domain_scores_codex":[0.9967676,0.0004020255,0.0001923658,0.0003686151,0.001342129,0.0009272018],"domain_scores_gemma":[0.9989777,0.0001560243,0.00005612406,0.0002454419,0.0001272446,0.000437489],"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":[0.00003819195,0.000088995,0.2071992,0.00001606563,0.00005593158,0.0002074085,0.03660356,0.00002579879,0.00007233926,0.03097987,0.6382268,0.08648576],"study_design_scores_gemma":[0.0002283725,0.0000447544,0.04202336,0.0000265481,0.000008592434,0.000001003746,0.0190977,0.00008694673,0.00001557248,0.00955264,0.9286642,0.0002502829],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2816496,0.0002523051,0.00006763505,0.01120622,0.001876967,0.000484258,0.00009111527,0.0007702074,0.7036017],"genre_scores_gemma":[0.9909222,0.0004553247,0.0001157694,0.0003160524,0.0006644216,0.00003947302,0.000009148383,0.000009654387,0.007468016],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7092725,"threshold_uncertainty_score":0.9998487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04351800611793975,"score_gpt":0.402257446765194,"score_spread":0.3587394406472542,"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."}}