{"id":"W6959664495","doi":"10.13016/m2wd3q26g","title":"Maryland Gazette January 1746","year":2017,"lang":"en","type":"article","venue":"Maryland Shared Open Access Repository (USMAI Consortium)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Head (geology); Government (linguistics); Quarter (Canadian coin); Headline","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0003889494,0.0004393814,0.0008090349,0.0001484779,0.001481992,0.005004497,0.003230599,0.0002731806,0.0006388549],"category_scores_gemma":[0.000830999,0.0003727282,0.0002037668,0.0001207037,0.0002803199,0.002350515,0.003295298,0.0005346477,0.000170388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009736739,"about_ca_system_score_gemma":0.0003687755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005279247,"about_ca_topic_score_gemma":0.0001545938,"domain_scores_codex":[0.9971111,0.000110373,0.0006837802,0.0008872151,0.000562627,0.0006448794],"domain_scores_gemma":[0.9960385,0.0002622713,0.0005620813,0.002274366,0.0002268423,0.0006359218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001339762,0.0002612334,0.6535538,0.0001708602,0.0002534742,0.00344049,0.00006875868,0.000007610083,0.002003976,0.00008609323,0.333307,0.005506937],"study_design_scores_gemma":[0.00455671,0.000243636,0.8883419,0.0006406291,0.0003097,0.0008124466,0.00002809537,0.0003663477,0.009621563,0.0002013523,0.09422768,0.0006499257],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4943768,0.0009040226,0.0001275872,0.005419823,0.001282668,0.001687021,0.0001969308,0.000216309,0.4957888],"genre_scores_gemma":[0.9680877,0.0001333375,0.0007688971,0.002988735,0.0007566244,0.0001886902,0.0003653885,0.00007104509,0.0266396],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4737109,"threshold_uncertainty_score":0.9998724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06980765135254222,"score_gpt":0.3829192992083069,"score_spread":0.3131116478557646,"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."}}