{"id":"W2148023989","doi":"","title":"COMPUTATIONAL PLACENTAL PATHOLOGY: USING PLACENTAL GEOMETRY TO ASSESS PLACENTAL FUNCTION","year":2009,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mitacs","keywords":"Placenta; Obstetrics; Fetus; Chorionic villi; Placenta Diseases; Medicine; Andrology; Biology; Pregnancy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002805339,0.0005834032,0.0005315343,0.001765119,0.0004396775,0.0002456538,0.00139347,0.0005805357,0.0002427554],"category_scores_gemma":[0.00006214327,0.0007310504,0.0002444762,0.001823626,0.00008601508,0.001282562,0.0002847245,0.0007635561,0.0001698308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001086303,"about_ca_system_score_gemma":0.0004315083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008763019,"about_ca_topic_score_gemma":0.002450489,"domain_scores_codex":[0.9963273,0.0002782147,0.0004766854,0.00121174,0.001082882,0.0006231415],"domain_scores_gemma":[0.9981309,0.0001471968,0.0004140464,0.0005264302,0.0002832433,0.0004981444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.007089646,0.006553598,0.1850081,0.001317447,0.00175632,0.01294484,0.001686972,0.02068573,0.006694692,0.02065242,0.4025831,0.3330272],"study_design_scores_gemma":[0.04003525,0.01011175,0.1176169,0.005768916,0.003304387,0.000015476,0.2432662,0.1883036,0.2369528,0.008412057,0.1216014,0.02461135],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3073094,0.00006639046,0.6855631,0.00008622347,0.001849168,0.0008450591,0.0001144466,0.0007387517,0.003427455],"genre_scores_gemma":[0.6996328,0.00009521367,0.2701829,0.003404405,0.0006415497,0.00001400113,0.01039495,0.0002116581,0.01542258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4153802,"threshold_uncertainty_score":0.999514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02081103436356281,"score_gpt":0.2657646438672258,"score_spread":0.244953609503663,"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."}}