{"id":"W6922176480","doi":"10.13016/m20k26c34","title":"Maryland Gazette October 1782","year":2017,"lang":"en","type":"article","venue":"Maryland Shared Open Access Repository (USMAI Consortium)","topic":"Legal Cases and Commentary","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Honour; Officer","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003056584,0.0004422898,0.0007906804,0.0001293622,0.001512386,0.005559495,0.00286943,0.0001769281,0.002946356],"category_scores_gemma":[0.0001153354,0.0003631625,0.0002555193,0.0001085868,0.0002138712,0.002769335,0.003152958,0.000486376,0.0001443786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001435287,"about_ca_system_score_gemma":0.0002849717,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00744785,"about_ca_topic_score_gemma":0.000213414,"domain_scores_codex":[0.9972019,0.0001014759,0.0006843051,0.000865419,0.0005408031,0.0006060656],"domain_scores_gemma":[0.9963453,0.00008969729,0.0005171049,0.002335034,0.0001817685,0.0005310485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001724858,0.0003567687,0.664054,0.0001811064,0.0003494794,0.004304776,0.00009434715,0.000002393014,0.007244811,0.00008783951,0.3180013,0.003598323],"study_design_scores_gemma":[0.005260433,0.0002467794,0.7011313,0.0003353427,0.0003658605,0.0013584,0.0000394787,0.0001397965,0.009271258,0.0001034845,0.2810796,0.0006683078],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7341216,0.0006317862,0.00002463507,0.00929614,0.001203414,0.001442242,0.0001117514,0.000111439,0.253057],"genre_scores_gemma":[0.9601792,0.00009975444,0.0002802744,0.007706965,0.000788659,0.0002087499,0.0002741238,0.00007844289,0.03038385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2260576,"threshold_uncertainty_score":0.999882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08001017836947269,"score_gpt":0.404711701997886,"score_spread":0.3247015236284133,"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."}}