{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007533844,0.0007624007,0.0004193326,0.003019115,0.005346742,0.003682201,0.001267587,0.002062804,0.2285123],"category_scores_gemma":[0.002841116,0.0006396464,0.0003604383,0.003988395,0.0007577185,0.002726385,0.001354663,0.002760572,0.09620273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00795445,"about_ca_system_score_gemma":0.006870675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2932236,"about_ca_topic_score_gemma":0.4431536,"domain_scores_codex":[0.999445,0.00005368645,0.00004597566,0.0001008427,0.0002420924,0.0001124045],"domain_scores_gemma":[0.9992887,0.000114997,0.00007640956,0.00007755401,0.0003712655,0.00007107403],"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":[0.000008523295,0.000005347519,0.000171893,0.00007999381,0.000002840143,0.00008165109,0.0002948636,0.00001686027,0.00008728195,0.01128707,0.9807725,0.007191216],"study_design_scores_gemma":[0.000002908648,0.000002365122,0.001089402,0.00006691715,0.000003692393,0.00001985038,0.0001220453,0.000007088688,0.00009283255,0.0004144922,0.9981741,0.000004335315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.002301194,0.007777608,0.0002959387,0.01071071,0.002670804,0.000100456,0.04735426,0.0006174566,0.9281715],"genre_scores_gemma":[0.01003605,0.002891462,0.0002779853,0.002570329,0.0005753461,0.0001814952,0.007338976,0.0002495104,0.9758789],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.2932236,"threshold_uncertainty_score":0.76445,"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."}}