{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004595445,0.0008834865,0.0005206145,0.001741724,0.00136479,0.004243976,0.001653405,0.0009804351,0.01062205],"category_scores_gemma":[0.01257776,0.0006293065,0.0005201974,0.001118412,0.00113475,0.004118324,0.003596005,0.001540738,0.002540956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008160648,"about_ca_system_score_gemma":0.00237095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001140503,"about_ca_topic_score_gemma":0.001798078,"domain_scores_codex":[0.9972399,0.0009157581,0.0002006492,0.0004642069,0.0009319835,0.0002474388],"domain_scores_gemma":[0.9935983,0.002021518,0.0002561547,0.001212806,0.002301491,0.0006095617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000587328,0.0003958974,0.01117175,0.001688895,0.0001030733,0.001466708,0.01819527,0.01897667,0.04971546,0.1957309,0.05289001,0.649078],"study_design_scores_gemma":[0.00007900634,0.0003539978,0.001410394,0.0003047054,0.00006452997,0.001020511,0.003479328,0.02903438,0.03858086,0.01988336,0.9056785,0.0001105024],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0325591,0.0004721397,0.8875768,0.0007350249,0.000529232,0.001153355,0.0006140126,0.01641859,0.05994174],"genre_scores_gemma":[0.1742477,0.000513993,0.792371,0.0005264245,0.00010614,0.001635464,0.001659468,0.002971572,0.0259682],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01062205,"threshold_uncertainty_score":0.03553432,"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."}}