{"id":"W6959069490","doi":"10.7916/d83r1574","title":"St. John's Park","year":2017,"lang":"en","type":"article","venue":"Columbia Academic Commons (Columbia University)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Work (physics); Natural (archaeology); Process (computing); Settlement (finance)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0002664327,0.0001944563,0.0005105229,0.0001378686,0.001653349,0.0002945545,0.00120284,0.0005170807,0.0007126878],"category_scores_gemma":[0.001148677,0.0003492982,0.0002290524,0.0002886678,0.0005491335,0.0004129863,0.0008738899,0.001308109,0.0001475812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002602139,"about_ca_system_score_gemma":0.0002816647,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03070982,"about_ca_topic_score_gemma":0.0594194,"domain_scores_codex":[0.9980977,0.00006745703,0.0002714543,0.0005596326,0.0003795322,0.0006242232],"domain_scores_gemma":[0.9971382,0.0002696008,0.0003023533,0.001480803,0.0001595531,0.0006494582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001003363,0.0001110686,0.7645994,0.00004036949,0.0001035512,0.0007166423,0.00004722551,0.000002186777,0.0001357482,0.0004985151,0.2219442,0.01170076],"study_design_scores_gemma":[0.002397913,0.0001873232,0.6218497,0.0002797983,0.0003023024,0.00007051673,0.0001288975,0.0001778187,0.00002969304,0.0005389831,0.3736914,0.0003456465],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7851624,0.0001494452,0.0001323054,0.001400532,0.00039502,0.0005676033,0.0001612758,0.0003436754,0.2116877],"genre_scores_gemma":[0.9090751,0.000243383,0.0004186754,0.0002709257,0.0002237495,0.000003151596,0.0000505342,0.0000373011,0.0896772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1517472,"threshold_uncertainty_score":0.9998959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02955437622381877,"score_gpt":0.2570952239398145,"score_spread":0.2275408477159957,"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."}}