{"id":"W2909425596","doi":"10.1016/j.placenta.2019.01.009","title":"A synoptic framework and future directions for placental pathology reporting","year":2019,"lang":"en","type":"review","venue":"Placenta","topic":"Maternal and fetal healthcare","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"Children's Hospital of Eastern Ontario; Ottawa Hospital; University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Standardization; Pregnancy; Placenta; Medicine; Modality (human–computer interaction); Fetal growth; Stakeholder; Intensive care medicine; Pathology; Obstetrics; Computer science; Political science; Fetus; Biology; Artificial intelligence; Public relations","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002700543,0.0003029437,0.001607854,0.0001102357,0.0001046436,0.00001936689,0.00006230269,0.0005406559,0.00008371723],"category_scores_gemma":[0.0002392046,0.0002202206,0.0003296248,0.0001127162,0.00003323547,0.00002672839,0.00006587768,0.0006039118,0.00005108335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000129272,"about_ca_system_score_gemma":0.0001677534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001631248,"about_ca_topic_score_gemma":0.000005119688,"domain_scores_codex":[0.9981052,0.00005543329,0.0009036304,0.0004727781,0.0001302906,0.0003327168],"domain_scores_gemma":[0.9983434,0.0002398654,0.0008760555,0.0003143482,0.00004521003,0.000181093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007117252,0.00005007592,0.0003916358,0.09171745,0.0001079958,0.0001641068,0.0001060254,5.249144e-9,2.451931e-7,0.0002830797,0.0004277484,0.9066805],"study_design_scores_gemma":[0.0002549068,0.0001788755,0.00009616656,0.01474633,0.0009305947,0.004834487,0.0001022973,0.000007239943,2.531162e-7,0.00003659643,0.978626,0.0001863162],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002469677,0.9947408,0.00002119504,0.000309876,0.001849099,0.001936544,0.0001682113,0.00006926155,0.000658013],"genre_scores_gemma":[0.00001914743,0.9939978,0.001240284,0.0001649503,0.001511898,0.0001673814,0.0003014888,0.00005995686,0.002537117],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9781982,"threshold_uncertainty_score":0.8980337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09867812044358254,"score_gpt":0.4182852020866009,"score_spread":0.3196070816430184,"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."}}