{"id":"W4389988120","doi":"10.7202/1108328ar","title":"A Word with an Edge","year":2023,"lang":"en","type":"article","venue":"Studies in Canadian Literature","topic":"Educational Leadership and Practices","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Word (group theory); Enhanced Data Rates for GSM Evolution; Natural language processing; Computer science; Linguistics; Artificial intelligence; Philosophy","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":[0.01321806,0.001472184,0.002645945,0.007018625,0.02534243,0.03340125,0.003868347,0.01421261,0.03417718],"category_scores_gemma":[0.08487339,0.0005861882,0.001019034,0.01131853,0.04386991,0.01872824,0.008587458,0.02896867,0.01111362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02641254,"about_ca_system_score_gemma":0.09336112,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5259642,"about_ca_topic_score_gemma":0.6407907,"domain_scores_codex":[0.9843833,0.002603707,0.001099186,0.001454937,0.007984628,0.002474209],"domain_scores_gemma":[0.9150383,0.02052381,0.002989076,0.004455737,0.04427483,0.01271836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002003824,0.000005173858,0.0001804393,0.0001649393,0.00001162089,0.00003701812,0.001065496,0.00001206968,0.00003161813,0.03921939,0.9502748,0.008977246],"study_design_scores_gemma":[0.00001412858,0.000009014162,0.0004063478,0.00106723,0.0000203735,0.00007759123,0.007029577,0.00002193589,0.00002857729,0.01653936,0.9747449,0.00004092239],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0004221129,0.02158588,0.0003318714,0.7851525,0.1561595,0.0000215237,0.0002109034,0.00006538408,0.0360502],"genre_scores_gemma":[0.02165549,0.02106729,0.001467099,0.819177,0.07052765,0.00007188114,0.0002455369,0.0002897395,0.06549832],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4740358,"threshold_uncertainty_score":0.953655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1111245633318293,"score_gpt":0.429234088372722,"score_spread":0.3181095250408927,"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."}}