{"id":"W4389696008","doi":"10.1515/9780889774094-002","title":"Introduction","year":2015,"lang":"en","type":"book-chapter","venue":"University of Regina Press eBooks","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill-Queen's University Press; University of Toronto","funders":"","keywords":"Computer science","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"],"consensus_categories":[],"category_scores_codex":[0.0001957074,0.0003206286,0.0004807663,0.0002931613,0.00008471123,0.00001053115,0.0005248472,0.0004120074,0.0002211799],"category_scores_gemma":[0.00001297478,0.0004267487,0.0001879849,0.000005913007,0.0006349652,0.00009874241,0.0002942338,0.0004101746,0.0007385348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000319838,"about_ca_system_score_gemma":0.0001555963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002334078,"about_ca_topic_score_gemma":0.00007579821,"domain_scores_codex":[0.998654,0.00003442317,0.00008687362,0.0005027126,0.0005130295,0.0002089253],"domain_scores_gemma":[0.9979311,0.00001793559,0.0005117395,0.000856483,0.0005261864,0.0001565058],"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":[0.0001941603,0.000006109401,3.813928e-7,0.00006047923,0.0001418598,0.00005441522,0.0002778572,0.0000125138,0.00007991811,0.3338433,0.6630127,0.002316372],"study_design_scores_gemma":[0.0005751103,0.00008369218,8.25904e-7,0.0001070189,0.0003288304,0.00002003634,0.00004414583,0.00001487798,0.0001346801,0.002249943,0.9960836,0.0003571961],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002024984,0.000377735,0.00009674406,0.00030853,0.0002518051,0.0003167607,0.0001817983,0.0002304734,0.9982159],"genre_scores_gemma":[0.0001239245,0.00004147309,0.0004235172,0.000002812478,0.0004316439,6.744666e-8,0.0000766955,0.00009529361,0.9988046],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.333071,"threshold_uncertainty_score":0.9998184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04291369209453626,"score_gpt":0.2083066116086812,"score_spread":0.1653929195141449,"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."}}