{"id":"W2087662994","doi":"10.1006/jvci.2001.0503","title":"On Computing General Position Views of Data in Three Dimensions","year":2002,"lang":"en","type":"article","venue":"Journal of Visual Communication and Image Representation","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Degenerate energy levels; Position (finance); Graphics; Algorithm; Transformation (genetics); Computer science; Computational complexity theory; Mathematics; Theoretical computer science; Physics; Computer graphics (images)","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":[0.0008328291,0.00007241256,0.0001627955,0.000298848,0.00009243083,0.00007867187,0.0004959618,0.00003072593,0.00001135182],"category_scores_gemma":[0.0001911467,0.00006767368,0.00003515845,0.0004357135,0.00003973554,0.001333726,0.0002640559,0.000158873,0.000002946861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002614007,"about_ca_system_score_gemma":0.00001856306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001734892,"about_ca_topic_score_gemma":0.00001144105,"domain_scores_codex":[0.9986004,0.0003266055,0.0005654309,0.0001451584,0.0002874873,0.00007491424],"domain_scores_gemma":[0.9983159,0.0003970447,0.0005073572,0.0004886071,0.0002482178,0.00004283279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001753554,0.002862964,0.005162314,0.00009051305,0.0001218639,0.00002586504,0.005289953,0.0186873,0.1391654,0.1026814,0.004366111,0.721371],"study_design_scores_gemma":[0.0007681121,0.0002512367,0.02627436,0.0000978619,0.00001081953,0.00006158065,0.00006192299,0.9637043,0.002402235,0.006165828,0.0001149104,0.00008676388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5183909,0.0008872223,0.4788989,0.001222133,0.00007798114,0.0001087934,0.000001777925,0.000008148379,0.0004042217],"genre_scores_gemma":[0.8929617,0.0004623364,0.1063849,0.0001143456,0.00003662155,6.270321e-7,0.00002290387,0.000003458259,0.00001305391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9450171,"threshold_uncertainty_score":0.2759652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1172499554360531,"score_gpt":0.4086531386972754,"score_spread":0.2914031832612223,"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."}}