{"id":"W4316652915","doi":"10.1163/9789047409779_002","title":"Preface","year":2006,"lang":"en","type":"book-chapter","venue":"","topic":"Oral History, Memory, Narrative Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00004705082,0.0003110813,0.0003870713,0.0001959367,0.0002244762,0.0000810047,0.0001762001,0.0001270195,0.1379857],"category_scores_gemma":[0.000002802218,0.0002594662,0.0003012781,0.000004366699,0.0003383344,0.00009612062,0.00002930834,0.0002276357,0.005422835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001223304,"about_ca_system_score_gemma":0.00003786296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003722997,"about_ca_topic_score_gemma":0.006548771,"domain_scores_codex":[0.9989754,0.000008673454,0.0002742162,0.0003219154,0.0002613363,0.0001584545],"domain_scores_gemma":[0.9992743,0.00002002324,0.0001632323,0.0003490852,0.0001451866,0.00004824391],"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":[0.000001940441,0.000006585663,3.432577e-7,0.00001088104,0.00006192124,0.000006132342,0.000940344,0.00000111814,0.000001148506,0.4857937,0.5126938,0.0004820092],"study_design_scores_gemma":[0.00006635064,0.00003895049,5.662772e-7,0.00002420604,0.0001423302,4.005622e-7,0.0001417459,0.000005043043,0.000008024774,0.01060203,0.9886317,0.0003386673],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000003945662,0.001229146,0.00001403046,0.0001792824,0.0004452183,0.000122849,0.00005936138,0.0001361098,0.9978101],"genre_scores_gemma":[0.001233528,0.00002201652,0.00002973207,0.0002988752,0.001531334,0.000004652946,0.0001056364,0.00006492656,0.9967093],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4759378,"threshold_uncertainty_score":0.9999858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03712341885005013,"score_gpt":0.2060265476973561,"score_spread":0.168903128847306,"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."}}