{"id":"W1981765638","doi":"10.1080/10255840601066848","title":"Estimation of cellular fabric in embryonic epithelia","year":2007,"lang":"en","type":"article","venue":"Computer Methods in Biomechanics & Biomedical Engineering","topic":"Image and Object Detection Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Embryonic stem cell; Cell biology; Computer science; Biology; Biological system; Computational biology; Anatomy; Genetics; Gene","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":[0.003880428,0.0002006563,0.0003494428,0.001754779,0.00002026629,0.00003385183,0.0007523271,0.0002198279,0.000004223804],"category_scores_gemma":[0.0001255987,0.0002060751,0.00008513068,0.002792121,0.00003175539,0.0002386472,0.0003467374,0.000338269,0.000003876316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001673098,"about_ca_system_score_gemma":0.00004242689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003242867,"about_ca_topic_score_gemma":0.000001129737,"domain_scores_codex":[0.9980546,0.0001099515,0.0006686942,0.0004043121,0.0003087661,0.0004536828],"domain_scores_gemma":[0.9989386,0.0003342218,0.0001149029,0.0004551534,0.00003965821,0.0001175216],"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":[0.000002757472,0.00005911852,0.00000126277,0.00006166924,0.000004861821,0.00004082725,0.0001368028,0.0002857237,0.2832038,0.002354009,0.000007947404,0.7138413],"study_design_scores_gemma":[0.0001724509,0.00008943782,0.00005504348,0.00007625343,0.000001406922,0.00001147275,0.000002920573,0.5819207,0.4152733,0.001901161,0.0003686903,0.0001271329],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00387025,0.0002328453,0.9943295,0.00005969858,0.001041158,0.0001746743,7.497937e-7,0.0002755417,0.00001564366],"genre_scores_gemma":[0.1997027,0.00001820197,0.8001459,0.00004770617,0.00005654198,0.000008257359,0.000002193203,0.0000145566,0.000004011138],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7137141,"threshold_uncertainty_score":0.8403497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009861033530519196,"score_gpt":0.3023738380027813,"score_spread":0.2925128044722621,"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."}}