{"id":"W2917805035","doi":"10.1163/9789087907358_011","title":"Creating a story","year":2009,"lang":"en","type":"book-chapter","venue":"","topic":"Oral History, Memory, Narrative Analysis","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"History; Computer science; Art","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001161001,0.0003510044,0.0004877101,0.0002917839,0.0005019589,0.00008721536,0.0001835067,0.0001370399,0.09806094],"category_scores_gemma":[0.00001447734,0.0003066735,0.0003585579,0.000005586704,0.0002977464,0.0001256014,0.00002229214,0.0004237502,0.002512952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002086387,"about_ca_system_score_gemma":0.00006320924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000960653,"about_ca_topic_score_gemma":0.002627746,"domain_scores_codex":[0.9988635,0.00002106602,0.0002753376,0.0003579552,0.0002959535,0.0001861749],"domain_scores_gemma":[0.999122,0.00004874069,0.0002268466,0.0003535007,0.0001710034,0.00007789161],"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":[0.000005466816,0.00001191895,2.977166e-7,0.00001570283,0.0001292558,0.00002178909,0.009025701,5.755539e-7,0.000002684959,0.7452519,0.2252614,0.02027333],"study_design_scores_gemma":[0.00008039652,0.0000931079,7.44682e-7,0.00006568235,0.0001733218,8.328977e-7,0.0009588922,0.000004838179,0.000004056061,0.007583562,0.9906507,0.0003838619],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000005040275,0.001894508,0.000008811349,0.0002536201,0.0003107942,0.0001156407,0.0000213605,0.0001591061,0.9972311],"genre_scores_gemma":[0.001277093,0.00004451184,0.00008818364,0.0008555494,0.001954441,0.000003597286,0.00004460355,0.00005801436,0.995674],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7653893,"threshold_uncertainty_score":0.9999385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0424617453379957,"score_gpt":0.2252060969248086,"score_spread":0.1827443515868128,"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."}}