{"id":"W6902658080","doi":"10.7910/dvn/e1sbi","title":"Massachusetts Archives Collection. v.64-Maritime, 1740-1753. SC1/series 45X, Petition of William Bollan","year":2015,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Legal Cases and Commentary","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Archivist; Endowment; Fur trade; National archives; Politics; New england; Agency (philosophy)","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002309936,0.0004637958,0.0008350124,0.0003873419,0.0001535367,0.00006504952,0.0003717081,0.0002498965,0.01155974],"category_scores_gemma":[0.0002276052,0.0004378179,0.0002455362,0.000297808,0.0003022958,0.0003573184,0.0004056912,0.0005834943,0.006290772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000156756,"about_ca_system_score_gemma":0.0004888952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001149533,"about_ca_topic_score_gemma":0.0005587447,"domain_scores_codex":[0.9975566,0.0001411087,0.0006073496,0.0005701322,0.0007232156,0.0004015407],"domain_scores_gemma":[0.9975774,0.0001026879,0.0003485819,0.001471719,0.0001453612,0.0003543103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001313385,0.0003928544,0.0002179915,0.000707283,0.0002970397,0.0004715663,0.00004837104,0.000001835072,0.0001606831,0.00001880324,0.9962323,0.000137882],"study_design_scores_gemma":[0.002090053,0.000819265,0.0004697401,0.0005769866,0.0008238427,0.0004562,0.0001799288,0.0000105641,0.0001767704,0.00007183381,0.9939302,0.0003946541],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001444289,0.00003326881,0.00001701772,0.0001493819,0.0007768882,0.0006322652,0.9960989,0.00006661406,0.00208122],"genre_scores_gemma":[0.000116395,0.001863529,0.0008869412,0.0008358861,0.000633894,0.0000583143,0.9931958,0.00004595751,0.002363318],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.005268967,"threshold_uncertainty_score":0.9998074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01614052978509915,"score_gpt":0.2510472748918372,"score_spread":0.2349067451067381,"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."}}