{"id":"W6940940967","doi":"10.11575/prism/33658","title":"Performance of a simple chromatin-rich segmentation algorithm in quantifying basal cell carcinoma from histology images","year":2012,"lang":"en","type":"other","venue":"University of Calgary","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Calgary","keywords":"Segmentation; Basal cell carcinoma; Histology; Pattern recognition (psychology); Image segmentation; Process (computing)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003850948,0.0000970243,0.0002134588,0.00004872922,0.00003553059,0.000001989005,0.0001430928,0.0001451133,0.01603419],"category_scores_gemma":[0.0000040341,0.00005741834,0.00005216057,0.00009697831,0.00001710495,0.00004830635,0.00004450731,0.0001019565,0.00007170664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002167535,"about_ca_system_score_gemma":0.000009736858,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0352403,"about_ca_topic_score_gemma":0.001511381,"domain_scores_codex":[0.9994959,0.00005492515,0.0001070281,0.0001346037,0.00008778429,0.0001197621],"domain_scores_gemma":[0.9994728,0.0002450753,0.0001902745,0.00004043107,0.0000183764,0.00003307212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001293425,0.0002925799,0.6116059,0.0001927999,0.00003990683,0.000032311,0.0004965651,0.000002235641,0.1804545,0.00002438555,0.1463317,0.06039768],"study_design_scores_gemma":[0.0007483063,0.0006749935,0.5475968,0.0005266125,0.0002577582,0.00001342422,0.00257587,0.003529188,0.02390069,0.0000401821,0.4191379,0.0009982599],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8805398,0.0008934331,0.00004616512,0.00001699219,0.0001848417,0.0001543856,0.001643483,0.00001736139,0.1165035],"genre_scores_gemma":[0.9167882,0.001711477,0.008438457,0.0000390268,0.0002302376,7.618561e-7,0.007847125,0.00001147859,0.06493323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2728062,"threshold_uncertainty_score":0.9848653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01277461519739701,"score_gpt":0.1907106660065143,"score_spread":0.1779360508091173,"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."}}