{"id":"W2580461990","doi":"10.4018/ijswis.2017040107","title":"Matching and Ranking Trustworthy Context-Dependent Universities","year":2017,"lang":"en","type":"article","venue":"International Journal on Semantic Web and Information Systems","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"King Abdulaziz City for Science and Technology; National Plan for Science, Technology and Innovation; King Abdulaziz University","keywords":"Computer science; Context (archaeology); Scholarship; Task (project management); Ranking (information retrieval); Selection (genetic algorithm); Multitude; Matching (statistics); Work (physics); Institution; Trustworthiness; World Wide Web; Medical education; Public relations; Information retrieval; Internet privacy; Political science; Management; Artificial intelligence; Engineering","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":[0.002079338,0.000826777,0.001472468,0.007588516,0.001586522,0.002134756,0.001493399,0.002355967,0.003654367],"category_scores_gemma":[0.01242042,0.0004567411,0.001008035,0.005344414,0.0005253436,0.002894114,0.00176315,0.0008635112,0.001828262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001188709,"about_ca_system_score_gemma":0.001791961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01409779,"about_ca_topic_score_gemma":0.02934224,"domain_scores_codex":[0.9959224,0.001005972,0.0003860848,0.001096913,0.001146254,0.0004423169],"domain_scores_gemma":[0.9943408,0.002689997,0.0005103759,0.0008886463,0.001245031,0.0003250776],"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":[0.002461616,0.001151693,0.1431929,0.001067599,0.0008660755,0.0014251,0.00120734,0.09544928,0.02214148,0.02250037,0.01755502,0.6909815],"study_design_scores_gemma":[0.0001160561,0.0006999394,0.03618155,0.0001556702,0.0003658591,0.0008536238,0.00143948,0.9077603,0.012853,0.02520544,0.01423611,0.0001329944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6325566,0.003995155,0.3404647,0.0008955385,0.0003437646,0.0007110277,0.003321757,0.001759863,0.0159517],"genre_scores_gemma":[0.8627583,0.0004976728,0.129512,0.0001333904,0.0001406713,0.0001160383,0.002148341,0.00008699951,0.004606634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01409779,"threshold_uncertainty_score":0.02803147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01334899684380639,"score_gpt":0.2557634328464003,"score_spread":0.2424144360025939,"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."}}