{"id":"W2105351096","doi":"10.1109/cccrv.2004.1301455","title":"Estimation of average cell shape from digital images of cellular surfaces","year":2004,"lang":"en","type":"article","venue":"","topic":"Image and Object Detection Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Segmentation; Computer vision; Artificial intelligence; Contrast (vision); Image segmentation; Computer science; Image (mathematics); Digital image; Watershed; Pattern recognition (psychology); Image processing; Biological system; Mathematics; Biology","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":[0.00006296801,0.00007508323,0.0001207523,0.00007144141,0.00002321957,0.00006516515,0.0003047769,0.00003600298,0.00004203663],"category_scores_gemma":[0.00001516173,0.00006619078,0.0000545207,0.0001670422,0.00003618288,0.0008125996,0.00008904691,0.00004315357,0.00001925867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001553725,"about_ca_system_score_gemma":0.00003343539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002649322,"about_ca_topic_score_gemma":0.000001576365,"domain_scores_codex":[0.9993742,0.000009800538,0.0002066968,0.000156228,0.0001668827,0.00008615963],"domain_scores_gemma":[0.9995103,0.0000376508,0.000104846,0.0002631293,0.00006103983,0.00002305171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000009806744,0.0002913615,0.0001352583,0.00006396798,0.00001833602,0.0000163608,0.0009452028,0.005122737,0.8200107,0.001365597,0.0002123092,0.1718084],"study_design_scores_gemma":[0.0001415742,0.00008021198,0.0002730368,0.00001174682,0.000002047159,6.618656e-7,0.00001395448,0.01662788,0.9748594,0.007901026,0.00001794336,0.00007048154],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2396257,0.0000514865,0.7552826,0.00002846807,0.00003681295,0.00005526039,0.000006641255,0.0001317101,0.004781388],"genre_scores_gemma":[0.9124733,0.000006384825,0.08733523,0.00001887145,0.000006517655,0.000001342691,0.0000029525,0.000003862596,0.0001514947],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6728477,"threshold_uncertainty_score":0.2699181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005033370503007631,"score_gpt":0.1998338479072783,"score_spread":0.1948004774042706,"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."}}