{"id":"W4414964802","doi":"10.1136/oemed-2025-epicohabstracts.323","title":"8290363 The international partnership on automatic job coding (IPAJC): a hub for automatic job and industry coding tools and expertise for occupational health research","year":2025,"lang":"en","type":"article","venue":"","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coding (social sciences); General partnership; Data collection; German","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":[],"consensus_categories":[],"category_scores_codex":[0.007642811,0.0001774528,0.0004482887,0.0003907575,0.0008047514,0.0002379699,0.0001560536,0.0002549463,0.000067001],"category_scores_gemma":[0.003832754,0.0001219775,0.00006414879,0.0003028939,0.0001165154,0.00015248,0.00007924426,0.0005825926,0.000002824484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005289263,"about_ca_system_score_gemma":0.002910165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006157085,"about_ca_topic_score_gemma":0.0002909646,"domain_scores_codex":[0.9971555,0.000341947,0.0007967653,0.0004178991,0.000592756,0.0006950963],"domain_scores_gemma":[0.9952584,0.003508067,0.000139033,0.000286615,0.0004020253,0.0004058436],"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":[0.0004224988,0.0001703549,0.05236723,0.008608568,0.0002295376,0.000004902732,0.006234962,0.000002137395,0.00009796265,0.333001,0.2110128,0.3878481],"study_design_scores_gemma":[0.01119969,0.002844442,0.498313,0.00960871,0.00005983211,0.0001633071,0.01593829,0.3583918,0.000153826,0.004831626,0.09793169,0.0005638414],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6744273,0.0005475433,0.007712573,0.3016884,0.0006606239,0.007293315,0.0001335159,0.0002075113,0.007329223],"genre_scores_gemma":[0.9809293,0.00005528908,0.001991424,0.01188436,0.0004295276,0.001090599,0.00005679825,0.00002310701,0.003539588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4459458,"threshold_uncertainty_score":0.6189578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4109031085147474,"score_gpt":0.5309538633396031,"score_spread":0.1200507548248557,"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."}}