{"id":"W2130970968","doi":"10.1007/11866763_12","title":"Evaluation of Texture Features for Analysis of Ovarian Follicular Development","year":2006,"lang":"en","type":"article","venue":"Lecture notes in computer science","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Canadian Institutes of Health Research","keywords":"Ovulation; Follicular phase; Follicle; Ovary; Ovarian follicle; Texture (cosmology); Menstrual cycle; Biology; Gynecology; Andrology; Medicine; Endocrinology; Computer science; Artificial intelligence; Image (mathematics); Hormone","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000573475,0.0003893432,0.0006104126,0.001980922,0.0001718246,0.0006928127,0.0003117155,0.0004139573,0.001319157],"category_scores_gemma":[0.001296516,0.000174255,0.0004035275,0.001060149,0.0001401484,0.0004084229,0.0002476273,0.0002568205,0.0003419984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001791094,"about_ca_system_score_gemma":0.0002746536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001669255,"about_ca_topic_score_gemma":0.001868088,"domain_scores_codex":[0.9998081,0.00003097615,0.00001554284,0.00002767764,0.00007498599,0.00004281118],"domain_scores_gemma":[0.9990224,0.000472756,0.00007688113,0.00004955281,0.0002944121,0.00008405119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002179008,0.0001902504,0.01518995,0.0003421667,0.0001067077,0.0001918738,0.00007290459,0.006281105,0.5144746,0.000250687,0.001070646,0.45965],"study_design_scores_gemma":[0.0001954819,0.001269356,0.1668014,0.00006786527,0.0005721904,0.001876908,0.0003106549,0.5354167,0.2892757,0.0006040931,0.003517451,0.00009221071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7801303,0.002151626,0.2133722,0.0001345306,0.0000806274,0.000157825,0.001048538,0.0009677396,0.001956555],"genre_scores_gemma":[0.8992247,0.0009737443,0.09753039,0.00003192103,0.00005138209,0.00008254455,0.0008502234,0.0001326091,0.00112257],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001980922,"threshold_uncertainty_score":0.004413068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03013346801157482,"score_gpt":0.322494191850931,"score_spread":0.2923607238393562,"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."}}