{"id":"W3017304315","doi":"","title":"Advanced Medical Chatbot based on named data networking","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Authentication Protocols Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Chatbot; Markup language; Computer science; World Wide Web; The Internet; Protocol (science); XML; Medicine","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":[0.002021213,0.0008234253,0.0007154032,0.001278374,0.001288954,0.001537909,0.002040447,0.001815159,0.01360237],"category_scores_gemma":[0.002681794,0.0005283678,0.0006189239,0.0004471735,0.0008787995,0.002443701,0.002726501,0.00113282,0.004289383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007347672,"about_ca_system_score_gemma":0.0009511785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001191051,"about_ca_topic_score_gemma":0.0008898196,"domain_scores_codex":[0.9981615,0.0006265356,0.0001773018,0.0003795162,0.0004661127,0.0001891199],"domain_scores_gemma":[0.9976811,0.0009713541,0.0001576957,0.0004579884,0.0003779844,0.0003538567],"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":[0.00582789,0.002726683,0.006873144,0.002480088,0.0003159214,0.005654864,0.004750882,0.01208719,0.1446716,0.1387344,0.1312938,0.5445834],"study_design_scores_gemma":[0.0006926894,0.001900659,0.007204761,0.000333113,0.0002863964,0.005017517,0.0006602907,0.4564199,0.1056996,0.05503806,0.3662385,0.0005083611],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04044361,0.0007443674,0.8407552,0.001016054,0.0009609927,0.001508481,0.0009478057,0.07866043,0.0349631],"genre_scores_gemma":[0.5963509,0.0004270214,0.3133743,0.001790531,0.0005312331,0.002011835,0.003487375,0.002127541,0.07989925],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01360237,"threshold_uncertainty_score":0.04550451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.074410610689363,"score_gpt":0.33025613772078,"score_spread":0.255845527031417,"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."}}