{"id":"W4406566655","doi":"10.1016/b978-0-323-95680-2.00024-7","title":"Case Study #3: Everyplace Labs","year":2025,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Workplace Health, Safety and Compensation Commission","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001163493,0.000341072,0.0003296557,0.0001782831,0.00004833633,0.00003005711,0.0001550378,0.0002853288,0.0001719393],"category_scores_gemma":[0.000007863128,0.0003363796,0.00009467465,0.00002108047,0.00003066391,0.00002185613,0.0000550156,0.0005059289,0.0001510879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001242348,"about_ca_system_score_gemma":0.00005216728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001427573,"about_ca_topic_score_gemma":0.00002417064,"domain_scores_codex":[0.999055,0.000006768518,0.0002920501,0.0002522133,0.0001821437,0.0002118053],"domain_scores_gemma":[0.9993545,0.0000460414,0.00002691423,0.0004179817,0.00003585583,0.0001186933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001413943,0.00001292643,0.000001771696,0.0005340945,0.0001863894,0.000699145,0.0004424322,0.00002942208,0.000004710667,0.0002487838,0.005348905,0.99249],"study_design_scores_gemma":[0.0001666075,0.0000331988,0.000003741148,0.0002548657,0.0001248895,0.0002435632,0.00005188142,0.0002239208,0.000009905678,0.0003346608,0.9981856,0.0003671032],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006197039,0.0008890901,0.00003490765,0.00001670206,0.002006615,0.0004227714,0.00002216186,0.0004951762,0.9954929],"genre_scores_gemma":[0.01056905,0.00003770206,0.0001471776,0.00004693542,0.0003817332,0.00005230259,0.00001519504,0.00007592962,0.988674],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9928368,"threshold_uncertainty_score":0.9999088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01120001359804615,"score_gpt":0.2211962367860756,"score_spread":0.2099962231880295,"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."}}