{"id":"W12123458","doi":"10.1046/j.1365-2958.2002.03025.x","title":"Recommender narrative visualization","year":2013,"lang":"en","type":"article","venue":"Molecular Microbiology","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Visualization; Presentation (obstetrics); Data visualization; Focus (optics); Recommender system; Narrative; Information visualization; Data science; Maturity (psychological); World Wide Web; Human–computer interaction; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007378887,0.00009402034,0.0001033495,0.00008380182,0.0000643504,0.00009303201,0.0004028657,0.00006818188,0.0003018097],"category_scores_gemma":[0.00002882077,0.00008579536,0.00003536571,0.000260346,0.00003613308,0.0002168096,0.000167756,0.00005005239,0.0005151724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001907012,"about_ca_system_score_gemma":0.00002110489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001203932,"about_ca_topic_score_gemma":0.000001464926,"domain_scores_codex":[0.9992463,0.0001290614,0.0001578016,0.000255321,0.00003131969,0.0001802241],"domain_scores_gemma":[0.999474,0.00001537146,0.00006107444,0.0002926893,0.000110923,0.00004592002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[7.000872e-7,0.00007516857,0.0001008358,0.000005597116,0.000038234,0.000007600974,0.001062452,0.00003222747,0.6966902,0.2354634,0.06281599,0.003707603],"study_design_scores_gemma":[0.001576592,0.0003816336,0.0003522651,0.00003333799,0.00002271482,0.0002173798,0.0006321626,0.09752622,0.326478,0.01928198,0.552205,0.001292693],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008392278,0.00005543779,0.9881249,0.001601737,0.0001752321,0.0001247388,0.000002927597,0.0001084938,0.001414264],"genre_scores_gemma":[0.9649927,0.00001812002,0.01926474,0.01437784,0.00002707265,0.00002583988,0.0003239569,0.00001738907,0.000952351],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9688601,"threshold_uncertainty_score":0.6621671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01091446166973555,"score_gpt":0.2731365306258255,"score_spread":0.26222206895609,"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."}}