{"id":"W6978118157","doi":"10.7910/dvn/m2ydl","title":"Massachusetts Archives Collection. v.66-Maritime, 1759-1775. SC1/series 45X, Petition of Joseph Leathers","year":2015,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Archivist; National archives; Endowment; Politics; Center (category theory); Colonialism; New england","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":[0.00091929,0.0007847093,0.00048608,0.003068337,0.006156944,0.004032495,0.001433945,0.002600286,0.2413265],"category_scores_gemma":[0.003162526,0.0007363934,0.000434407,0.004133334,0.0008303884,0.003047211,0.001513593,0.00355805,0.1030792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008236114,"about_ca_system_score_gemma":0.007592553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2397954,"about_ca_topic_score_gemma":0.3776827,"domain_scores_codex":[0.9992008,0.00008110461,0.00006868524,0.0001406549,0.0003313879,0.0001773455],"domain_scores_gemma":[0.9992482,0.0001308418,0.00007421724,0.00008314561,0.000395159,0.00006843442],"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":[0.00001562334,0.000009181193,0.0002797893,0.0001076146,0.000004275176,0.0001246378,0.0004092899,0.00002335825,0.0001011734,0.02021854,0.9700037,0.008702799],"study_design_scores_gemma":[0.000003821555,0.000003441156,0.001401731,0.00009331628,0.000004611293,0.00002652674,0.0001615066,0.000009667165,0.000105554,0.0006361855,0.9975477,0.000005989927],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.002173924,0.006390433,0.0002493314,0.009789763,0.00233392,0.0001111898,0.03873588,0.0004201782,0.9397954],"genre_scores_gemma":[0.01069178,0.002527417,0.0002269265,0.002927414,0.000572089,0.0001967969,0.005799999,0.0001981222,0.9768594],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.2413265,"threshold_uncertainty_score":0.8073174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02132158748872876,"score_gpt":0.2739934339426432,"score_spread":0.2526718464539145,"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."}}