{"id":"W1970846581","doi":"10.1111/j.1467-8659.2005.00904.x","title":"Algorithms for Interactive Editing of Level Set Models","year":2005,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Engineering Link (Canada)","funders":"","keywords":"Computer science; Set (abstract data type); Bounding overwatch; Representation (politics); Computation; Process (computing); Theoretical computer science; Algorithm; Artificial intelligence; 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":[0.00168738,0.0008023313,0.0009592957,0.00149267,0.0008412632,0.002845931,0.002519217,0.001249269,0.008172845],"category_scores_gemma":[0.008029424,0.0008968483,0.001519233,0.0008722089,0.0009912683,0.001828161,0.003539006,0.002124762,0.00240407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000744756,"about_ca_system_score_gemma":0.0005613091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001251873,"about_ca_topic_score_gemma":0.001378812,"domain_scores_codex":[0.9980909,0.0003559975,0.0001280428,0.0001853972,0.00113847,0.0001011907],"domain_scores_gemma":[0.9962181,0.002102726,0.0001653267,0.0007532635,0.0006122278,0.0001483624],"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":[0.000285259,0.0001199923,0.0008239353,0.0003216255,0.0001064762,0.0005245457,0.0009573307,0.3913978,0.03460626,0.145163,0.01557466,0.4101191],"study_design_scores_gemma":[0.00002269923,0.00002282518,0.00007196795,0.0000206147,0.00001209346,0.0001892275,0.00004428007,0.9458107,0.01021043,0.02841998,0.01515151,0.00002370327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001139069,0.00001841551,0.9962817,0.00002614186,0.00001275771,0.00002211877,0.00002595324,0.001660442,0.0008133929],"genre_scores_gemma":[0.05264001,0.00008358796,0.9440322,0.00002901993,0.0000199184,0.0001164897,0.000180524,0.001153313,0.001744957],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008172845,"threshold_uncertainty_score":0.02734089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0741288387728379,"score_gpt":0.3319061049220171,"score_spread":0.2577772661491792,"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."}}