{"id":"W3194003371","doi":"10.17993/3ctecno/2021.v10n2e38.47-71","title":"Agente conversacional para consultas sobre servicio médico en una clínica privada","year":2021,"lang":"es","type":"article","venue":"3C Tecnología_Glosas de innovación aplicadas a la pyme","topic":"Psychological Treatments and Disorders","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007750089,0.0003429326,0.0003369862,0.001097222,0.00151728,0.002134561,0.0007524255,0.001103261,0.0113764],"category_scores_gemma":[0.02001098,0.000262804,0.000312042,0.0008198262,0.000567213,0.002218412,0.001888681,0.0007425649,0.002041921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001172829,"about_ca_system_score_gemma":0.002384786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002830641,"about_ca_topic_score_gemma":0.004516762,"domain_scores_codex":[0.9934174,0.00558449,0.0002401619,0.0003230757,0.0002807193,0.000154249],"domain_scores_gemma":[0.9808995,0.01576537,0.0009358517,0.0006115432,0.001172425,0.0006153424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002886613,0.002847069,0.04544334,0.003724367,0.0001108377,0.003198017,0.0769086,0.002827238,0.01856801,0.01575832,0.02075303,0.8069746],"study_design_scores_gemma":[0.0009161379,0.005385324,0.1105218,0.003300511,0.000612119,0.005251859,0.1198085,0.03824079,0.02813185,0.01405916,0.6734444,0.0003275593],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6544375,0.004375611,0.2189388,0.006374025,0.0006063005,0.004088438,0.001898814,0.003851512,0.1054289],"genre_scores_gemma":[0.8125716,0.001755119,0.1607105,0.0006095925,0.0001547936,0.002668155,0.0007063012,0.0001017657,0.02072215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0113764,"threshold_uncertainty_score":0.0409869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02691624664391333,"score_gpt":0.3493421138417249,"score_spread":0.3224258671978115,"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."}}