{"id":"W4250948461","doi":"10.22215/etd/2008-10165","title":"Comparing apples and oranges: a socio-rhetorical analysis of writing in biology and history","year":2008,"lang":"en","type":"dissertation","venue":"","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Rhetorical question; Humanities; Biology; Library science; Art; Literature; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001246919,0.0001737492,0.0008717076,0.0007200475,0.0000999548,0.00001889878,0.00006997383,0.00008654109,0.0005289654],"category_scores_gemma":[0.00002915332,0.0001482997,0.0001226431,0.00007466345,0.0003604662,0.00005401973,0.00003155846,0.0001342771,7.961492e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007300053,"about_ca_system_score_gemma":0.0000224483,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004525601,"about_ca_topic_score_gemma":0.09911391,"domain_scores_codex":[0.9990641,0.00004454378,0.0003875988,0.0002681446,0.00009733897,0.0001382601],"domain_scores_gemma":[0.9994732,0.000132316,0.0001962566,0.0001004981,0.00007569812,0.00002204004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004909599,0.0001761839,0.2041487,0.000508157,0.007831609,0.00002010409,0.4910789,0.00001200356,0.00009163289,0.2888899,0.003211129,0.003982641],"study_design_scores_gemma":[0.0007768207,0.00009825302,0.07670601,0.0002744607,0.008684421,0.000001487939,0.8835587,0.001242606,0.00001564773,0.0007081509,0.02687325,0.001060221],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8288795,0.02998755,0.000003677981,0.00001728808,0.0001063455,0.0000681914,0.00001352104,0.00001969522,0.1409042],"genre_scores_gemma":[0.9919868,0.0018455,0.00004945927,0.00002058872,0.0001094629,0.00001490914,0.0003377335,0.00001183171,0.005623714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3924798,"threshold_uncertainty_score":0.9173249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0589704615905156,"score_gpt":0.3193573505846559,"score_spread":0.2603868889941403,"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."}}