{"id":"W6903586751","doi":"10.13016/m29882n9x","title":"Maryland Gazette April 1794","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":"Lift (data mining); Treaty; Frontier","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":[0.0003230231,0.0004417562,0.0008051299,0.0001316149,0.001589354,0.005766755,0.003054094,0.0001763623,0.002288158],"category_scores_gemma":[0.0001276055,0.0003664895,0.0002544748,0.0001104422,0.0002189072,0.002687948,0.003299982,0.0004870242,0.0001319948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001517102,"about_ca_system_score_gemma":0.0003126513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00656607,"about_ca_topic_score_gemma":0.0001779162,"domain_scores_codex":[0.9971709,0.0001049418,0.0006931643,0.0008733154,0.0005507118,0.0006070281],"domain_scores_gemma":[0.9962698,0.00009351602,0.0005385153,0.002383782,0.0001761205,0.0005382219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002031941,0.0003381831,0.6584141,0.0002270418,0.0003821485,0.004687713,0.00009277785,0.000003114511,0.008399355,0.0001044802,0.3203926,0.004926625],"study_design_scores_gemma":[0.005642937,0.000273794,0.7024768,0.0003597534,0.0003788691,0.001363207,0.00003685205,0.0001907111,0.009761922,0.0001262401,0.2786874,0.0007015214],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7151333,0.0007136827,0.00003464777,0.01050316,0.001317214,0.001542443,0.0001179048,0.0001261237,0.2705115],"genre_scores_gemma":[0.9649341,0.0001146639,0.0003071499,0.007204551,0.0008335588,0.0002104231,0.0002380524,0.00007781592,0.02607974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2498008,"threshold_uncertainty_score":0.9998787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07526709293603907,"score_gpt":0.3914272769241771,"score_spread":0.316160183988138,"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."}}