{"id":"W2405151678","doi":"","title":"Clustering and Visualizing Study State Sequences","year":2013,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Visualization; Cluster analysis; GRASP; Computer science; Data visualization; Human–computer interaction; Data science; Artificial intelligence; Software 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":[0.002074824,0.0005696871,0.0004306536,0.0107458,0.0008980955,0.003127607,0.0006229295,0.0006732534,0.002347516],"category_scores_gemma":[0.01040345,0.0003327387,0.000444864,0.007031234,0.0005258088,0.001902721,0.001540153,0.0005773214,0.0009393686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000696855,"about_ca_system_score_gemma":0.001207214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005387293,"about_ca_topic_score_gemma":0.007122119,"domain_scores_codex":[0.9981862,0.0005106973,0.0002037651,0.000444132,0.0005011434,0.0001541247],"domain_scores_gemma":[0.9916493,0.003784121,0.001325001,0.001244102,0.001639838,0.0003576454],"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":[0.0007979341,0.0003231153,0.1386815,0.001427677,0.0001864209,0.0006136945,0.03817822,0.01438364,0.03875477,0.01722064,0.01462816,0.7348042],"study_design_scores_gemma":[0.0001405304,0.0006027113,0.3795449,0.001314153,0.0003665764,0.001832975,0.03599666,0.264487,0.05786033,0.08099876,0.1763641,0.0004912825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4505188,0.001907941,0.5021872,0.001251084,0.0001844159,0.001211069,0.01600265,0.009487181,0.01724968],"genre_scores_gemma":[0.606545,0.0009276168,0.3757806,0.00007980398,0.00008594849,0.0009401121,0.011635,0.0005485616,0.00345735],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0107458,"threshold_uncertainty_score":0.01097286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01254074159388277,"score_gpt":0.2623047733841814,"score_spread":0.2497640317902986,"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."}}