{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":1,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":1,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"3c0a74f2d444","filters":{"venue":"International Journal of Software Engineering and Its Applications"}},"results":[{"id":"W3080788362","doi":"10.21742/ijseia.2020.14.1.02","title":"Chatbot Analytics Based on Question Answering System and Deep Learning: Case Study for Movie Smart Automatic Answering","year":2020,"lang":"en","type":"article","venue":"International Journal of Software Engineering and Its Applications","topic":"Topic Modeling","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Lakehead University","funders":"Lakehead University","keywords":"Chatbot; Computer science; Question answering; Artificial intelligence; Natural language processing; Deep learning; Word embedding; Recurrent neural network; Sentiment analysis; Natural language; Natural language understanding; Artificial neural network; Embedding","authors":[{"name":"Sabah Mohammed","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01723132915862683,"gpt":0.2574833423538425,"spread":0.2402520131952157,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002206529,0.0007211094,0.0007295315,0.0008312573,0.000933727,0.001139474,0.001493045,0.001745906,0.003067856],"category_scores_gemma":[0.005887426,0.0002566497,0.0005151405,0.0008899388,0.000700991,0.002202603,0.001248737,0.001275314,0.001311141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001222579,"about_ca_system_score_gemma":0.0009227414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009210084,"about_ca_topic_score_gemma":0.01148031,"domain_scores_codex":[0.9977573,0.001095183,0.0001131973,0.0003394929,0.0004463065,0.0002485987],"domain_scores_gemma":[0.994889,0.003035862,0.0001751002,0.000525495,0.0008334226,0.0005412416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006681106,0.008090694,0.06767543,0.00422635,0.0004988972,0.0250041,0.01702945,0.05295544,0.08712608,0.02253015,0.08458486,0.6235975],"study_design_scores_gemma":[0.0004125066,0.002581788,0.03798462,0.0002089011,0.0001959218,0.003893269,0.007327204,0.8023941,0.06451821,0.009549865,0.07076652,0.0001671025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8750381,0.002029732,0.08968967,0.002173355,0.0002096594,0.001230008,0.002044144,0.01244284,0.01514244],"genre_scores_gemma":[0.934305,0.0002906708,0.0546827,0.0003961461,0.00006986171,0.0002450781,0.001720569,0.0002134727,0.008076405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009210084,"threshold_uncertainty_score":0.01831293,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}