{"id":"W2085924616","doi":"10.1145/1067445.1067495","title":"Designing CIspace","year":2005,"lang":"en","type":"article","venue":"","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Usability; Computer science; Visualization; Human–computer interaction; Instructional design; Multimedia; Mathematics education; Psychology; Artificial intelligence","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":[0.00009313672,0.00003360063,0.00003605426,0.0000271733,0.00003969952,0.00006261792,0.0002423493,0.00001355629,0.0000235398],"category_scores_gemma":[0.00001651768,0.0000276224,0.00001851943,0.0001165083,0.000005227582,0.0001521026,0.00005152157,0.00005516432,0.0003445685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007123027,"about_ca_system_score_gemma":0.00001443002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003235917,"about_ca_topic_score_gemma":0.000002694731,"domain_scores_codex":[0.999664,0.00001118194,0.0000474232,0.00009983193,0.00007519919,0.0001023359],"domain_scores_gemma":[0.9997519,0.00002462354,0.00001299081,0.000159676,0.00001548963,0.00003536307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[7.488676e-7,0.00007724801,0.003349584,0.000004237343,0.00001381095,0.0000119035,0.000728828,0.01254622,0.002509478,0.5002426,0.02416641,0.4563489],"study_design_scores_gemma":[0.0001034584,0.0000236629,0.0002807184,0.000004971952,0.00000158595,0.00000814073,0.00002310354,0.8584326,0.003755546,0.001785737,0.1354689,0.0001116053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001582378,0.00002523823,0.9587141,0.01654606,0.00003038488,0.000009097661,1.751168e-8,0.0002082384,0.02288443],"genre_scores_gemma":[0.4291645,0.000001361396,0.5606595,0.000904134,0.00008379737,2.2771e-7,6.394596e-8,0.000001685044,0.009184765],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8458864,"threshold_uncertainty_score":0.4428846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01227697994774811,"score_gpt":0.2623619389032534,"score_spread":0.2500849589555053,"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."}}