{"id":"W4385595137","doi":"10.59962/9780774828550-001","title":"Acknowledgments","year":2015,"lang":"en","type":"book-chapter","venue":"University of British Columbia Press eBooks","topic":"Oral History, Memory, Narrative Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[],"category_scores_codex":[0.0001023929,0.0001802663,0.0006064015,0.00009021039,0.0003239972,0.0001578444,0.000501936,0.0002121048,0.01262811],"category_scores_gemma":[0.000008239342,0.0004245934,0.0003282943,0.000003146264,0.001140859,0.0001282471,0.0002017722,0.0002932864,0.0001537688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002329099,"about_ca_system_score_gemma":0.0001418095,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1057353,"about_ca_topic_score_gemma":0.6677716,"domain_scores_codex":[0.9986497,0.00003654137,0.0002349164,0.0004291946,0.000441387,0.0002082878],"domain_scores_gemma":[0.9982185,0.00002060557,0.0003715223,0.0003864034,0.0008455053,0.0001574614],"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":[0.00001981683,0.00003610109,0.000003393705,0.0001035723,0.0004311077,0.0002235598,0.005765476,5.458263e-7,0.000001490607,0.01069268,0.9664928,0.01622941],"study_design_scores_gemma":[0.0005241789,0.00009783197,0.000004191701,0.0003268735,0.0004275709,0.000003921582,0.0008235007,0.000004844606,5.773758e-7,0.002580377,0.9948074,0.0003987523],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001800667,0.001300935,0.000003352572,0.000004358801,0.000459774,0.0002655085,0.001124061,0.0000808761,0.9965811],"genre_scores_gemma":[0.00249552,0.00008044696,0.0000377275,0.00002019447,0.0002785179,3.82374e-7,0.00007436165,0.00004695882,0.9969659],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5620362,"threshold_uncertainty_score":0.9998206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05299094352046815,"score_gpt":0.1948291334959991,"score_spread":0.1418381899755309,"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."}}