{"id":"W4288719738","doi":"10.54103/2037-3597/18336","title":"SCRIVERE E RISCRIVERE I TESTI IN CHIAVE ACCESSIBILE E RAPPRESENTATIVA: ALCUNE INDICAZIONI PRATICHE","year":2022,"lang":"it","type":"article","venue":"Italiano LinguaDue","topic":"Linguistic Studies and Language Acquisition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"ArcelorMittal (Canada)","funders":"","keywords":"Humanities; Philosophy","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009337933,0.0005994483,0.0007416077,0.0004382133,0.00125555,0.0005153567,0.002100358,0.000168089,0.003945189],"category_scores_gemma":[0.001155915,0.0006252981,0.000255621,0.002115999,0.000239155,0.0004805673,0.003329701,0.001128355,0.0001896946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004552837,"about_ca_system_score_gemma":0.0005124508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002440369,"about_ca_topic_score_gemma":0.0001717084,"domain_scores_codex":[0.994474,0.0006530074,0.001059527,0.001428641,0.00127834,0.001106491],"domain_scores_gemma":[0.9971884,0.0005074919,0.0006182271,0.001186381,0.0002372207,0.0002622192],"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":[0.00084137,0.008999167,0.08748683,0.001235244,0.00176429,0.03172168,0.4618241,0.01219468,0.00248815,0.06660366,0.2352871,0.08955365],"study_design_scores_gemma":[0.03078028,0.009980239,0.1804075,0.003282522,0.00128735,0.001808631,0.2287322,0.2117896,0.009233478,0.04798608,0.2614911,0.01322101],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7689093,0.04556205,0.0123033,0.01097437,0.02601233,0.006705236,0.001679547,0.001110538,0.1267433],"genre_scores_gemma":[0.986477,0.00009452135,0.004366687,0.001858787,0.001196213,0.0002038579,0.0001109539,0.00006485656,0.005627088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2330919,"threshold_uncertainty_score":0.9996198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01786470090291205,"score_gpt":0.2750672146192462,"score_spread":0.2572025137163342,"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."}}