{"id":"W216667309","doi":"10.1007/978-90-481-8816-1_8","title":"Research and Guidelines on Computer-Generated Visualizations","year":2010,"lang":"en","type":"book-chapter","venue":"Models and modeling in science education","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Visualization; Computer science; Information visualization; Computer graphics; Scientific visualization; Context (archaeology); Software; Computer graphics (images); Graphics; Human–computer interaction; Software visualization; Multimedia; Software development; Artificial intelligence; Component-based software engineering; Programming language","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":[0.006217175,0.001417257,0.0008460601,0.00753922,0.0009420068,0.00659809,0.003390495,0.004256755,0.02603958],"category_scores_gemma":[0.03544972,0.001218705,0.0008226505,0.008760759,0.003022933,0.009467688,0.002256361,0.004686379,0.01193701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00187588,"about_ca_system_score_gemma":0.003338873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005020357,"about_ca_topic_score_gemma":0.008268622,"domain_scores_codex":[0.9945485,0.001776514,0.0008015436,0.0004330894,0.002284571,0.0001557275],"domain_scores_gemma":[0.9650136,0.02015494,0.0007001979,0.003927981,0.009665986,0.000537282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002097056,0.00008452425,0.0002194762,0.00169143,0.000014887,0.0001671563,0.001055805,0.002595026,0.00144071,0.4191811,0.2146908,0.3588381],"study_design_scores_gemma":[0.00001436705,0.00001977794,0.000215621,0.00251863,0.00001720895,0.0004215068,0.0002506115,0.003695652,0.00247191,0.1774864,0.8128505,0.00003786744],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.002629573,0.0632714,0.6928101,0.02975234,0.003985525,0.0003806816,0.001385469,0.006244552,0.1995404],"genre_scores_gemma":[0.03069658,0.08522453,0.7506754,0.005414306,0.002173789,0.000875305,0.004478869,0.005569424,0.1148918],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02603958,"threshold_uncertainty_score":0.08711106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3066668126588166,"score_gpt":0.4601528827718991,"score_spread":0.1534860701130825,"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."}}