{"id":"W178410994","doi":"","title":"BEYOND THE CARTESIAN GRAPH: 3D VISUALIZATION IN LITERARY CLASSROOMS","year":2011,"lang":"en","type":"article","venue":"INTED2011 Proceedings","topic":"Architecture and Computational Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Visualization; Graph; Computer science; Graph drawing; Computer graphics (images); Mathematics; Artificial intelligence; Theoretical computer science","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":[0.0008947946,0.0008610919,0.0005575399,0.001840129,0.001611873,0.008487129,0.00108537,0.001519767,0.02144063],"category_scores_gemma":[0.004391058,0.0006001087,0.0005068521,0.001674193,0.002342572,0.006853858,0.00513227,0.001380092,0.003083801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006625336,"about_ca_system_score_gemma":0.0007543874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001622314,"about_ca_topic_score_gemma":0.002822053,"domain_scores_codex":[0.9993223,0.0003746695,0.00002140706,0.00009115068,0.0001397154,0.00005071268],"domain_scores_gemma":[0.9978815,0.001257884,0.00006993453,0.0003492159,0.0002459527,0.0001954034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004245976,0.0001300686,0.004081974,0.0009869799,0.00005748847,0.001171416,0.05144102,0.02466316,0.01530418,0.467576,0.05014177,0.3840213],"study_design_scores_gemma":[0.00009714519,0.0001145204,0.002069706,0.0005075768,0.00005266171,0.0007246222,0.01926812,0.1040088,0.009934095,0.5420989,0.3210193,0.000104496],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09532243,0.003480109,0.7621148,0.005435758,0.0005041137,0.0001349265,0.000931286,0.009041277,0.1230352],"genre_scores_gemma":[0.7531168,0.00251228,0.2193665,0.0003567271,0.0001729968,0.0001982902,0.0005073287,0.00268498,0.02108404],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02144063,"threshold_uncertainty_score":0.07172602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0117053102357567,"score_gpt":0.1994139337185736,"score_spread":0.1877086234828169,"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."}}