{"id":"W6903736092","doi":"10.13016/m2ng4gs7c","title":"Maryland Gazette May 1775","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":"George (robot); Falling (accident); Poorhouse; Morning; Quarter (Canadian coin)","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":[0.0003258717,0.0004418538,0.0008019849,0.0001334082,0.001564345,0.005861854,0.003052117,0.000176049,0.002585141],"category_scores_gemma":[0.0001137671,0.0003643232,0.0002474069,0.0001089685,0.0002236771,0.002725007,0.003200555,0.0004871052,0.0001326655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001438031,"about_ca_system_score_gemma":0.0003000207,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006910944,"about_ca_topic_score_gemma":0.0001758457,"domain_scores_codex":[0.9971849,0.00011045,0.0006867899,0.0008688483,0.0005415056,0.0006074572],"domain_scores_gemma":[0.9963209,0.00009425049,0.0005373259,0.002347561,0.0001727415,0.0005272367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001735332,0.0003424992,0.6624356,0.0002106256,0.0003373333,0.004638243,0.00008177035,0.000002543533,0.006121509,0.0001110137,0.3199736,0.00400996],"study_design_scores_gemma":[0.005362332,0.0002584215,0.6896348,0.0003782914,0.0003754761,0.001387202,0.00004330256,0.0001430578,0.01019128,0.000109166,0.2914298,0.0006868251],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7041195,0.0006412623,0.00002783952,0.01368927,0.00132647,0.001544924,0.0001302789,0.0001219019,0.2783985],"genre_scores_gemma":[0.9602842,0.0001033223,0.000276476,0.006613156,0.0007527431,0.0002136507,0.0002747436,0.00007553864,0.0314062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2561646,"threshold_uncertainty_score":0.9998809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08215676458686116,"score_gpt":0.4053870319425988,"score_spread":0.3232302673557377,"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."}}