{"id":"W2512045614","doi":"10.1007/978-3-319-45153-4_71","title":"Detecting and Supporting the Evolving Knowledge Interests of Lifelong Professionals","year":2016,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Baseline (sea); Programmer; Term (time); Computer science; Lifelong learning; Knowledge base; Recall; Knowledge management; Data science; Artificial intelligence; Psychology; Cognitive psychology; Pedagogy; Political science; Programming language","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":[0.001269832,0.0003164963,0.0004269107,0.003918963,0.0005219924,0.002311821,0.0006531056,0.001041911,0.001137263],"category_scores_gemma":[0.009986907,0.0001707821,0.0002226831,0.002199841,0.0002139269,0.003192822,0.001472511,0.0006656512,0.0006830657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004888566,"about_ca_system_score_gemma":0.0006421381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005588155,"about_ca_topic_score_gemma":0.008463627,"domain_scores_codex":[0.9991296,0.0001588515,0.00005108439,0.0002514313,0.0002512741,0.0001577519],"domain_scores_gemma":[0.993216,0.004283643,0.0005873096,0.0002575527,0.0009724529,0.0006830661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009816698,0.000954498,0.5213122,0.0002408664,0.0001205359,0.0004489508,0.003745143,0.003591441,0.01624284,0.002238212,0.006597898,0.4435257],"study_design_scores_gemma":[0.00006876802,0.001088375,0.389346,0.0001761847,0.0003057845,0.001219891,0.01351079,0.5106056,0.03526507,0.02822604,0.02007183,0.00011563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773183,0.001073643,0.01520531,0.0005433541,0.00002861093,0.00005033077,0.0008559973,0.000237722,0.00468661],"genre_scores_gemma":[0.9886848,0.0002282155,0.008682236,0.00005514111,0.00004505627,0.00002439142,0.001000056,0.00001576316,0.001264291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005588155,"threshold_uncertainty_score":0.01111126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.017814513566689,"score_gpt":0.3067864908043262,"score_spread":0.2889719772376372,"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."}}