{"id":"W2596270222","doi":"","title":"Incoming editor's message","year":2005,"lang":"en","type":"article","venue":"Cambridge University Engineering Department Publications Database","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","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":[],"consensus_categories":[],"category_scores_codex":[0.0001395011,0.0001313111,0.0001072469,0.0002604561,0.000389208,0.0001693113,0.0002636107,0.00002604239,0.0004620694],"category_scores_gemma":[0.00004839374,0.0001527034,0.00005783423,0.0001195289,0.00006569671,0.001128539,0.0001276252,0.0001278652,0.0002510232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000219654,"about_ca_system_score_gemma":0.00005192734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005804215,"about_ca_topic_score_gemma":0.0002843529,"domain_scores_codex":[0.9992404,0.00001948578,0.0001302293,0.0002261683,0.0001555195,0.0002282261],"domain_scores_gemma":[0.9992506,0.00004462726,0.00005032576,0.0003682125,0.0001388954,0.000147326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003552629,0.0001287829,0.0002363842,0.00001380351,0.00004820596,0.000003601181,0.0001471737,0.0001892396,0.0002212715,0.5290838,0.4697153,0.0002087838],"study_design_scores_gemma":[0.0002345411,0.000009638228,0.0007188077,0.000009567585,0.00002904522,0.000001296494,0.0001239349,0.003269518,0.0001767801,8.126547e-7,0.9952531,0.0001728972],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6947376,0.0004367548,0.0182003,0.01455569,0.008587749,0.00172576,0.009100419,0.002786298,0.2498694],"genre_scores_gemma":[0.9421351,0.0000581634,0.001161206,0.0001342321,0.004075577,0.000009980199,0.0016699,0.0000279994,0.05072785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5290831,"threshold_uncertainty_score":0.6227065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01362552733539638,"score_gpt":0.1964152304825222,"score_spread":0.1827897031471258,"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."}}