{"id":"W3023872708","doi":"10.13025/htat-gw66","title":"Challenges of word sense alignment: Portuguese language resources","year":2020,"lang":"en","type":"article","venue":"Arrow@dit (Dublin Institute of Technology)","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Linguistic Association","funders":"Fundação para a Ciência e a Tecnologia; Ministério da Ciência, Tecnologia e Ensino Superior; Universidade Nova de Lisboa; European Commission","keywords":"Portuguese; Political science; European union; Brazilian Portuguese; Word (group theory); Library science; Linguistics; Sociology; Computer science; Business; 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"],"consensus_categories":[],"category_scores_codex":[0.0003126221,0.0002729707,0.0005038046,0.0005741754,0.00006244534,0.00002810388,0.002026342,0.0003590518,0.00001011273],"category_scores_gemma":[0.0005481764,0.0002482566,0.0001197711,0.00135595,0.0004909634,0.0007141702,0.0009226428,0.0004075443,0.00001393843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003177443,"about_ca_system_score_gemma":0.0000793403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003273821,"about_ca_topic_score_gemma":0.00001955314,"domain_scores_codex":[0.997948,0.00003202674,0.0005856105,0.0006402807,0.0004375491,0.0003565219],"domain_scores_gemma":[0.9980949,0.00003605162,0.0004954338,0.001080758,0.0001812157,0.0001116234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004426526,0.0001881474,0.0001026721,0.0004207605,0.0001109381,0.0005490322,0.004785526,0.00001504821,0.07839565,0.5124035,0.002094058,0.4008904],"study_design_scores_gemma":[0.0008988304,0.0005222335,0.0001150457,0.0005074528,0.00004412701,0.0001381015,0.001213763,0.001187755,0.925768,0.03716778,0.03175289,0.0006840662],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6526756,0.122946,0.08554891,0.1194253,0.001231453,0.001280501,0.00005596505,0.008680212,0.008156099],"genre_scores_gemma":[0.762436,0.0004208322,0.2366931,0.0003174522,0.0000628007,0.00001632448,0.000003527191,0.00001690335,0.00003304606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8473723,"threshold_uncertainty_score":0.999997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02241459459780207,"score_gpt":0.2619537631504967,"score_spread":0.2395391685526946,"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."}}