{"id":"W1574133177","doi":"","title":"The interfaces of auto/biography, part one","year":2005,"lang":"en","type":"article","venue":"Thirdspace","topic":"Oral History, Memory, Narrative Analysis","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Biography; Computer science; History; Art history","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000262833,0.0001233415,0.0002041065,0.0001039902,0.0004118522,0.00006533591,0.0002624818,0.00002902118,0.002082825],"category_scores_gemma":[0.00003068368,0.00008431465,0.0001490612,0.00008487856,0.0007102747,0.0001588822,0.00003620037,0.0001299928,0.0002958788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003280591,"about_ca_system_score_gemma":0.00002184134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002540667,"about_ca_topic_score_gemma":0.008197057,"domain_scores_codex":[0.9991112,0.00007999521,0.0002276608,0.0001547291,0.00023056,0.0001957938],"domain_scores_gemma":[0.9992402,0.00009038654,0.0001588481,0.0003331014,0.0001349367,0.00004253566],"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":[0.0001269895,0.0003938389,0.0004019334,0.00005311644,0.0007253962,0.000001943843,0.1609422,0.00004785733,0.003106543,0.2493666,0.5583407,0.02649296],"study_design_scores_gemma":[0.0001243183,0.00008733957,0.00008089247,0.00002438422,0.00006828982,2.183948e-7,0.008994401,0.0000678441,0.004169423,0.0005834087,0.9856778,0.0001217202],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3249526,0.01586934,0.00006806052,0.03012165,0.001494651,0.0004332818,0.00006289435,0.0003312715,0.6266662],"genre_scores_gemma":[0.912668,0.0001695877,0.00008086018,0.0001847832,0.0005638153,0.00000908492,0.000002421707,0.00001461473,0.0863068],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5877154,"threshold_uncertainty_score":0.9988294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03488627705309921,"score_gpt":0.2328777202596571,"score_spread":0.1979914432065579,"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."}}