{"id":"W4251562311","doi":"10.4337/9781848440180.00005","title":"Preface","year":2008,"lang":"en","type":"book-chapter","venue":"Edward Elgar Publishing eBooks","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Uppsala Universitet; Curtin University of Technology; University of Queensland; University of Melbourne; McGill University; Commonwealth Scientific and Industrial Research Organisation; Australian National University; University of Windsor; University of Ottawa","keywords":"Computer science","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","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.001122601,0.001465067,0.001317757,0.001038629,0.0005133587,0.002920467,0.002423733,0.002042189,0.001511246],"category_scores_gemma":[0.0006929112,0.001556337,0.0007766131,0.00005725302,0.0005455118,0.00183148,0.0010008,0.003854229,0.01889662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009417426,"about_ca_system_score_gemma":0.001034249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001496125,"about_ca_topic_score_gemma":0.0001710294,"domain_scores_codex":[0.9932892,0.00009727209,0.001140084,0.001765888,0.00238306,0.00132447],"domain_scores_gemma":[0.9948241,0.0002462227,0.00107806,0.002426572,0.0007090817,0.0007160346],"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":[0.00005685946,0.00001816769,0.000009302114,0.00007419898,0.0003579221,0.0003098379,0.000938525,0.000006078203,0.0000850053,0.05504518,0.9301777,0.01292118],"study_design_scores_gemma":[0.0006458409,0.0000706444,0.00002918898,0.0004571523,0.0001448695,0.0002509752,0.00001122459,0.00001144668,0.0001750509,0.008734504,0.987885,0.001584121],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00006052734,0.001076965,0.00003414441,0.0002525031,0.002146768,0.0009636729,0.0005424237,0.002702589,0.9922204],"genre_scores_gemma":[0.001469529,0.0000534889,0.001230047,0.000718348,0.002995308,0.00005639387,0.000535532,0.001547295,0.991394],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05770724,"threshold_uncertainty_score":0.9998099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03443255303107805,"score_gpt":0.2319933374554668,"score_spread":0.1975607844243887,"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."}}