{"id":"W2887597315","doi":"10.5539/cis.v11n3p112","title":"A Semantic Recommender Engine for Idea Generation Improvement","year":2018,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Recommender system; Workflow; Key (lock); Ideation; Context (archaeology); Quality (philosophy); Focus (optics); Matching (statistics); Semantic Web; Knowledge management; Order (exchange); Semantic technology; Data science; World Wide Web; Semantic computing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005273404,0.0009414465,0.001082591,0.003768877,0.001247954,0.003031994,0.002888345,0.002408221,0.007373064],"category_scores_gemma":[0.01335718,0.0007142479,0.0021031,0.002827415,0.0007261162,0.004583649,0.002102442,0.001580131,0.004336344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001072014,"about_ca_system_score_gemma":0.002004078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005001672,"about_ca_topic_score_gemma":0.008813929,"domain_scores_codex":[0.9969285,0.0009012611,0.0004004159,0.0005441303,0.001079665,0.0001460557],"domain_scores_gemma":[0.9945394,0.001758542,0.0002932576,0.001341498,0.001842545,0.0002246801],"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":[0.0007293486,0.0008869186,0.007532523,0.00109467,0.0004225816,0.0006565029,0.001466149,0.03117059,0.01846079,0.09954758,0.02884657,0.8091857],"study_design_scores_gemma":[0.0003090635,0.0004666978,0.002605333,0.0002097984,0.0005919581,0.0009155321,0.0005171587,0.7597745,0.0284166,0.07281525,0.1331287,0.0002493762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01348419,0.0005411096,0.9637409,0.0006827616,0.0001768133,0.000509779,0.0006307772,0.013649,0.006584732],"genre_scores_gemma":[0.08274008,0.0004431292,0.9077127,0.0002259687,0.00006065705,0.0003132194,0.00180685,0.0002904339,0.00640697],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007373064,"threshold_uncertainty_score":0.02788877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03984875128448905,"score_gpt":0.3135345158743553,"score_spread":0.2736857645898663,"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."}}