{"id":"W4394940760","doi":"10.33137/ic.v37i1.42112","title":"Tracking the Trajectories of Genni Gunn’s Writing","year":2023,"lang":"en","type":"article","venue":"Italian Canadiana","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tracking (education); Gunn diode; Computer science; Artificial intelligence; Psychology; Engineering; Electrical engineering; Pedagogy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004923976,0.0005519928,0.000448741,0.005260276,0.01299209,0.01037658,0.001731104,0.001641216,0.002919632],"category_scores_gemma":[0.01718181,0.0004195445,0.0001495534,0.003739895,0.01335665,0.003687114,0.008339355,0.00276163,0.000749037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01139361,"about_ca_system_score_gemma":0.006272274,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07007539,"about_ca_topic_score_gemma":0.2075184,"domain_scores_codex":[0.9959889,0.001852795,0.00008623247,0.0004893829,0.001052524,0.0005301193],"domain_scores_gemma":[0.9930156,0.003207415,0.0009054923,0.0004202685,0.001248216,0.001203035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001420778,0.00001006572,0.002539383,0.00002767903,0.000001764034,0.0006423033,0.978429,0.00002576154,0.0002760876,0.006305451,0.002322645,0.009405578],"study_design_scores_gemma":[0.000002174951,0.00001377164,0.006887231,0.0002121864,0.0000029682,0.0006946287,0.8597283,0.00009899601,0.000367992,0.002126845,0.1298402,0.00002461648],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8715942,0.002880177,0.001541017,0.008872971,0.0002888618,0.00008569788,0.0003002316,0.00009872716,0.1143381],"genre_scores_gemma":[0.9801654,0.001362129,0.001401045,0.0006619185,0.00005657574,0.00005354088,0.0001541766,0.000144248,0.0160011],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9299246,"threshold_uncertainty_score":0.139335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04099069141254256,"score_gpt":0.264845169755673,"score_spread":0.2238544783431305,"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."}}