{"id":"W6884903755","doi":"10.13016/m2ns0kz6z","title":"Maryland Gazette January 1776","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":"Humanity; Quarter (Canadian coin); Work (physics)","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":[0.0003232152,0.0004557532,0.0008190583,0.0001386486,0.001606507,0.005387573,0.003076592,0.0001830342,0.001842136],"category_scores_gemma":[0.0001220149,0.0003787247,0.0002669015,0.0001126249,0.0002299332,0.002973255,0.003344048,0.0005228607,0.0001365067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001467781,"about_ca_system_score_gemma":0.0003097601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006055408,"about_ca_topic_score_gemma":0.0001350595,"domain_scores_codex":[0.9971023,0.000112943,0.0007117821,0.0008933959,0.0005553055,0.0006242779],"domain_scores_gemma":[0.996233,0.0001043442,0.0005332514,0.002395264,0.0001708547,0.0005632354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001937733,0.0003844519,0.5529863,0.0002112051,0.0003609706,0.005287577,0.00008057901,0.000002536177,0.007866897,0.00006728397,0.4274264,0.003388105],"study_design_scores_gemma":[0.005610192,0.0003091061,0.7671645,0.0004044455,0.0003961836,0.001185481,0.00004244094,0.0001871714,0.01002778,0.0001232771,0.213811,0.0007384374],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7032728,0.0007355066,0.00003006697,0.01051005,0.001237348,0.001631707,0.0001291653,0.0001207618,0.2823326],"genre_scores_gemma":[0.9675813,0.0001232872,0.000321327,0.008237751,0.0008560463,0.0002358022,0.0002737776,0.00007435287,0.02229636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2643085,"threshold_uncertainty_score":0.9998665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07799194430395348,"score_gpt":0.4025361807042419,"score_spread":0.3245442364002884,"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."}}