{"id":"W4249082466","doi":"10.1145/1151954.1067495","title":"Designing CIspace","year":2005,"lang":"en","type":"article","venue":"ACM SIGCSE Bulletin","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Usability; Computer science; Visualization; Instructional design; Human–computer interaction; Multimedia; Mathematics education; Psychology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002905861,0.0001078802,0.0001123536,0.00006008172,0.0001130917,0.0001228523,0.001073105,0.00004897422,0.0001547713],"category_scores_gemma":[0.0004250062,0.0001007159,0.00005581236,0.000180632,0.00002173464,0.00007317508,0.0003395207,0.000193322,0.002514943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002252239,"about_ca_system_score_gemma":0.0000296891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001118506,"about_ca_topic_score_gemma":0.000001775524,"domain_scores_codex":[0.9990634,0.00005657117,0.0001400925,0.0002761656,0.0001918756,0.0002718482],"domain_scores_gemma":[0.9989027,0.0001954528,0.00005935608,0.0007093151,0.00004253268,0.00009058895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001314442,0.0003302742,0.003536385,0.00002768514,0.00006498789,0.0001346336,0.002281846,0.01209326,0.004482881,0.03434419,0.4913009,0.4513898],"study_design_scores_gemma":[0.0002498455,0.00005167702,0.00022695,0.00002181876,0.000005742204,0.00001901267,0.00003354044,0.016597,0.003087786,0.001155673,0.9783335,0.0002173928],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02505657,0.0004551615,0.5551805,0.4058916,0.000274776,0.000126159,7.847324e-7,0.0009496969,0.01206474],"genre_scores_gemma":[0.4403557,0.00001289201,0.5476018,0.00305026,0.0003281895,0.000002926417,7.79901e-7,0.00001148601,0.008636024],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4870327,"threshold_uncertainty_score":0.9982617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01347047055801419,"score_gpt":0.254148664902514,"score_spread":0.2406781943444998,"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."}}