{"id":"W2473285855","doi":"","title":"Medio adverbio, medio prefijo: la evolución de medio como modificador de verbos en español","year":2015,"lang":"es","type":"article","venue":"Boletín de la Real Academia Española/Boletín de la Real Academia Española","topic":"Spanish Linguistics and Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Adverbial; Pronoun; Linguistics; Relation (database); Verb; History; Humanities; Mathematics; Philosophy; Computer science","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":[0.0005236601,0.0003326921,0.0001850175,0.0009159253,0.0007676866,0.002521822,0.0003705077,0.0006122596,0.002941607],"category_scores_gemma":[0.0008505876,0.0001713392,0.0002206283,0.00120375,0.001761695,0.002086022,0.001164318,0.0007754519,0.0004705227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002085422,"about_ca_system_score_gemma":0.0007529365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01599534,"about_ca_topic_score_gemma":0.01202779,"domain_scores_codex":[0.9998566,0.0000290468,0.000006010172,0.00005161408,0.00003726319,0.0000194733],"domain_scores_gemma":[0.9996785,0.0001010284,0.00009408328,0.00003760861,0.00006158675,0.0000272141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008215985,0.0001794612,0.07920172,0.001128009,0.0001071667,0.003995879,0.1518998,0.0009498551,0.03889897,0.3489965,0.00949749,0.3643234],"study_design_scores_gemma":[0.00006952938,0.0002176753,0.1581533,0.0005839798,0.0001230567,0.00287532,0.04513545,0.001335684,0.005780359,0.02185459,0.7637985,0.00007265612],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7494144,0.02256897,0.006307092,0.002916677,0.0003703872,0.00004564058,0.0005664928,0.0002259871,0.2175843],"genre_scores_gemma":[0.9723209,0.00802422,0.001737594,0.0001939897,0.0002519039,0.00001581373,0.0002934978,0.0001247301,0.01703744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01599534,"threshold_uncertainty_score":0.03180444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0131805160788026,"score_gpt":0.3013021705057086,"score_spread":0.288121654426906,"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."}}