{"id":"W3092709506","doi":"10.33137/pbsc.v38i2.18177","title":"&lt;i&gt;Talking on the Page: Editing Aboriginal Oral Texts. Papers Given at the Thirty-Second Annual Conference on Editorial Problems, University of Toronto, 24-26 November, 1996&lt;/i&gt;, Laura J. Murray and Keren Rice, eds.","year":2000,"lang":"en","type":"article","venue":"Papers of The Bibliographical Society of Canada","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Media studies; History; Sociology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0006112061,0.0002918876,0.000374591,0.00009796258,0.001213705,0.0001694925,0.0007769435,0.0001404601,0.00446543],"category_scores_gemma":[0.00002757399,0.0001736905,0.0004258025,0.0004892088,0.001778818,0.0003731133,0.0001244845,0.0004806407,9.077493e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009082039,"about_ca_system_score_gemma":0.0002470456,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08788472,"about_ca_topic_score_gemma":0.7383129,"domain_scores_codex":[0.9975787,0.0001457531,0.0003555804,0.0003138717,0.001173147,0.0004329257],"domain_scores_gemma":[0.9983711,0.0005225951,0.0003405871,0.0003740465,0.0002643191,0.0001273363],"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":[0.0002798254,0.0001515689,0.0005062433,0.0001624144,0.0004600771,0.000002094084,0.008448934,0.00002148009,0.0009937955,0.04708967,0.9392905,0.002593376],"study_design_scores_gemma":[0.0005615194,0.0002225539,0.0052739,0.0001539778,0.00007688307,0.000001262423,0.005806633,0.00001794232,0.00003282092,0.0004824713,0.9871421,0.0002278732],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5752823,0.002127421,8.977623e-8,0.005429855,0.004123442,0.0006493169,0.001773879,0.00004641177,0.4105673],"genre_scores_gemma":[0.9904199,0.001390726,0.000006967238,0.0008210828,0.001821299,0.000003625641,0.00001315975,0.00002391339,0.005499313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6504282,"threshold_uncertainty_score":0.9964446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01039975327205725,"score_gpt":0.1906357572614408,"score_spread":0.1802360039893836,"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."}}