{"id":"W2421567616","doi":"10.7748/ns.24.11.20.s21","title":"Discover your bias","year":2009,"lang":"en","type":"article","venue":"Nursing Standard","topic":"Social and Intergroup Psychology","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Psychology; Computer science; Information retrieval; Data 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":[],"consensus_categories":[],"category_scores_codex":[0.0002760903,0.00006326188,0.0001102469,0.00003547339,0.0003831622,0.0000738279,0.0001360221,0.00008525956,0.0003461165],"category_scores_gemma":[0.0001195809,0.00005860491,0.00006330656,0.000167061,0.0002503728,0.0001364127,0.000002510625,0.00009506491,0.00005076975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001954032,"about_ca_system_score_gemma":0.00008233181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001258845,"about_ca_topic_score_gemma":0.00007474479,"domain_scores_codex":[0.9991124,0.00009291185,0.000101516,0.000145187,0.000266725,0.0002813097],"domain_scores_gemma":[0.999719,0.00002583967,0.00003699372,0.0000924147,0.0000495217,0.00007624712],"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":[0.0001450705,0.0001171566,0.001771624,7.666986e-7,0.000009326291,0.000007555504,0.06040658,6.926248e-7,0.0003838436,0.2808065,0.1453369,0.511014],"study_design_scores_gemma":[0.0004877844,0.0003887844,0.02932498,0.00009434581,0.00001611691,0.00000180238,0.01194254,0.000001755614,0.0001740424,0.163413,0.7939284,0.00022642],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.24437,0.000185103,0.001228731,0.02635115,0.002076358,0.0001014059,0.000009692912,0.0001415978,0.725536],"genre_scores_gemma":[0.9942422,0.00002840338,0.000227912,0.00106936,0.0006851618,9.287809e-7,0.00000148492,0.000004911722,0.003739617],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7498722,"threshold_uncertainty_score":0.3789732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07947624432380013,"score_gpt":0.4312553564519125,"score_spread":0.3517791121281124,"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."}}