{"id":"W4377020064","doi":"10.33137/ic.v3i.41122","title":"Marcel Danesi. Loanwords and Phonological Methodology","year":2023,"lang":"en","type":"article","venue":"Italian Canadiana","topic":"Linguistic Studies and Language Acquisition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Linguistics; History; 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":[0.000698734,0.0005905694,0.0003153554,0.003689188,0.001084153,0.001826253,0.0006223281,0.001228564,0.03167272],"category_scores_gemma":[0.002301597,0.0003016335,0.0001838871,0.003221057,0.001709605,0.002388213,0.001013659,0.0008919486,0.008982206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00135641,"about_ca_system_score_gemma":0.0006805588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01118826,"about_ca_topic_score_gemma":0.01820879,"domain_scores_codex":[0.9994943,0.0001609382,0.00002969345,0.0001401636,0.0001390614,0.00003582145],"domain_scores_gemma":[0.999027,0.000547538,0.00005884783,0.00008914497,0.0002215094,0.0000560001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003199515,0.00005022946,0.001120887,0.0005808935,0.00001461237,0.0002067781,0.001008964,0.000256251,0.0005753816,0.3483304,0.2741608,0.3736627],"study_design_scores_gemma":[0.00001268156,0.00001614158,0.003049988,0.0002422974,0.00001210498,0.0003957709,0.0003305167,0.0005571769,0.0006685549,0.1424922,0.8522044,0.00001832946],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01422561,0.3185995,0.04415025,0.1043029,0.01166917,0.00008484341,0.001225601,0.001333266,0.504409],"genre_scores_gemma":[0.2473933,0.1711223,0.03089428,0.008393248,0.01663122,0.0002115411,0.0007330378,0.0009709044,0.5236501],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03167272,"threshold_uncertainty_score":0.1059558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05106377075403608,"score_gpt":0.2809453834348375,"score_spread":0.2298816126808015,"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."}}