{"id":"W4224257789","doi":"10.1109/iciptm54933.2022.9754157","title":"Deep learning Based Patient-Friendly Clinical Expert Recommendation Framework","year":2022,"lang":"en","type":"article","venue":"2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Algonquin College","funders":"","keywords":"Computer science; Recommender system; The Internet; Service (business); Deep learning; Artificial intelligence; Quality (philosophy); Similarity (geometry); Big data; Test (biology); Service quality; World Wide Web; Information retrieval; Machine learning; Data mining","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":[0.0008810502,0.0006238775,0.001015346,0.001181176,0.0003933393,0.0008317941,0.001691943,0.001518397,0.006296811],"category_scores_gemma":[0.001638481,0.0003665095,0.000869447,0.001063867,0.0002737253,0.0009366871,0.0007928915,0.00114582,0.001860004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001162319,"about_ca_system_score_gemma":0.002300223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03768317,"about_ca_topic_score_gemma":0.05061415,"domain_scores_codex":[0.9992756,0.0001281398,0.0000578264,0.000209085,0.0002135037,0.0001158997],"domain_scores_gemma":[0.9995021,0.0001422559,0.00003886521,0.00003936544,0.000220951,0.00005652708],"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":[0.0006060332,0.00106287,0.01037578,0.0003092866,0.0003087918,0.0007092689,0.0001607287,0.2511122,0.004841416,0.01081164,0.03214311,0.6875589],"study_design_scores_gemma":[0.00004025596,0.00006793424,0.0005855284,0.00001655153,0.00003609819,0.0001025199,0.00001868377,0.9927586,0.0007442302,0.003123427,0.002490698,0.00001538513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04056437,0.002382496,0.9339488,0.002591736,0.0002276229,0.0004093045,0.003037711,0.004946764,0.01189119],"genre_scores_gemma":[0.6627495,0.001795763,0.302229,0.001941835,0.0002926098,0.0005540202,0.005304858,0.0001122491,0.02502003],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03768317,"threshold_uncertainty_score":0.07492763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1805202310321192,"score_gpt":0.4924140114137229,"score_spread":0.3118937803816038,"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."}}