{"id":"W4381663808","doi":"10.58992/rld.i79.2023.3860","title":"Inteligencia artificial, tecnologías y recursos del lenguaje","year":2023,"lang":"es","type":"article","venue":"Revista de Llengua i Dret","topic":"Human Rights and Immigration","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Generalitat Valenciana","keywords":"Humanities; Political science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003053279,0.0006909783,0.0004387638,0.002837059,0.001678776,0.01044491,0.001111662,0.001598538,0.009463513],"category_scores_gemma":[0.007567015,0.0004971633,0.0007150345,0.003403153,0.008569083,0.006493214,0.002462049,0.001980268,0.002994843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003697041,"about_ca_system_score_gemma":0.004504652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01071234,"about_ca_topic_score_gemma":0.007242364,"domain_scores_codex":[0.9968778,0.001284381,0.0001985472,0.0006340922,0.0007762476,0.0002288852],"domain_scores_gemma":[0.9953733,0.002295241,0.0004867849,0.0007772249,0.0008805365,0.0001869021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007967005,0.00004791456,0.0079371,0.0008086403,0.00005719024,0.0004553795,0.01327265,0.003700439,0.00310247,0.8069903,0.009637311,0.1539109],"study_design_scores_gemma":[0.00002130495,0.00005663102,0.01521417,0.00105399,0.00006171887,0.0006345332,0.01234796,0.009949087,0.003419311,0.5481053,0.4090404,0.00009553619],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1393429,0.014359,0.282989,0.02238697,0.0007165542,0.0001983189,0.001304027,0.002166192,0.536537],"genre_scores_gemma":[0.8216238,0.009956781,0.09082231,0.001678264,0.0004379459,0.0003042115,0.001474846,0.0006610143,0.07304083],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01071234,"threshold_uncertainty_score":0.03165865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0475932074238689,"score_gpt":0.3452759956318514,"score_spread":0.2976827882079825,"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."}}