{"id":"W4402078687","doi":"10.47674/9781529238327","title":"Dialogues in Data Power","year":2024,"lang":"en","type":"book","venue":"Bristol University Press eBooks","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Universiteit van Tilburg; Karlstads universitet","keywords":"Power (physics); Computer science; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.002096653,0.0002821521,0.000527093,0.0006514185,0.00009407941,0.0004189539,0.005764734,0.0002816421,0.0001085395],"category_scores_gemma":[0.0002734313,0.0002816696,0.0001306813,0.00007008526,0.0002742829,0.0004288423,0.007364883,0.000530279,0.0007186509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002610558,"about_ca_system_score_gemma":0.0003472637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006716368,"about_ca_topic_score_gemma":0.001248115,"domain_scores_codex":[0.9963378,0.0002903058,0.0004711931,0.00136724,0.001243158,0.0002903511],"domain_scores_gemma":[0.9958392,0.0004949516,0.0002513236,0.003197415,0.00009490894,0.0001222055],"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":[0.00003504974,0.00001749662,0.000001124551,0.00003666905,0.00004707385,0.0008067493,0.0003735661,0.000001574445,2.668103e-7,0.1664922,0.8258756,0.006312576],"study_design_scores_gemma":[0.0002193151,0.00001500448,0.00001787527,0.0001273929,0.0000809475,0.00000281915,0.0002611133,0.00006615283,9.047121e-7,0.01356421,0.9853373,0.0003069415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00000827312,0.0003588297,0.0005533689,0.0001605287,0.0008221212,0.0003740875,0.003719082,0.0001034127,0.9939003],"genre_scores_gemma":[0.0001808708,0.00005677771,0.0001263238,0.0001590483,0.0000797904,4.650393e-7,0.0007136568,0.00002221591,0.9986609],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1594617,"threshold_uncertainty_score":0.9999635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3263759557675474,"score_gpt":0.357813835672532,"score_spread":0.03143787990498459,"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."}}