{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001097969,0.0005064278,0.0003233101,0.001979588,0.001869158,0.01821488,0.0007006737,0.001577649,0.03183376],"category_scores_gemma":[0.005370016,0.0003250101,0.0003114948,0.001891522,0.005543578,0.008388914,0.003446567,0.001426484,0.002288853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001339784,"about_ca_system_score_gemma":0.0009526554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002249676,"about_ca_topic_score_gemma":0.002048638,"domain_scores_codex":[0.9992331,0.0004099747,0.00003327298,0.00006587015,0.0001747255,0.00008307049],"domain_scores_gemma":[0.9969649,0.001865543,0.000128221,0.0006038785,0.0002348846,0.0002026207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001141736,0.00007069324,0.00225308,0.0004576529,0.00001930676,0.0004700743,0.05622518,0.0003532007,0.003893395,0.7589011,0.0201769,0.1570653],"study_design_scores_gemma":[0.00002086699,0.00007780434,0.006482174,0.001229855,0.00004002489,0.001833723,0.04454193,0.002718042,0.007426344,0.2141093,0.7214774,0.00004250011],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06561206,0.02145649,0.05285077,0.006109037,0.0006862983,0.0001142344,0.0003654652,0.0007208987,0.8520848],"genre_scores_gemma":[0.8135871,0.009558599,0.01438667,0.000839046,0.0005047922,0.0001854404,0.000288686,0.000562667,0.1600871],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03183376,"threshold_uncertainty_score":0.1064945,"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."}}