{"id":"W4398460889","doi":"10.7910/dvn/cs75p3","title":"Massachusetts Archives Collection. v.188-Revolution Petitions, 1782-1783. SC1/series 45X, Petition of John Gardiner","year":2017,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"American Constitutional Law and Politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Art history; Art; History; Law; Political science","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":[0.001361681,0.0008804166,0.0005592947,0.002054195,0.009496203,0.005488046,0.001707082,0.005272023,0.1789117],"category_scores_gemma":[0.004361597,0.000914209,0.0005303958,0.002875814,0.001085117,0.002330731,0.001987958,0.005471869,0.06414645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009927589,"about_ca_system_score_gemma":0.008434529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2313874,"about_ca_topic_score_gemma":0.4024867,"domain_scores_codex":[0.9985539,0.0001371547,0.00007742053,0.0002472693,0.000598639,0.0003856476],"domain_scores_gemma":[0.9990264,0.000213403,0.00008082109,0.0001144066,0.0004548483,0.0001100978],"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":[0.00002626038,0.00001538865,0.0003353824,0.00007193242,0.000004788596,0.0001532521,0.0003729566,0.00003162373,0.0001328039,0.01998573,0.9722588,0.00661097],"study_design_scores_gemma":[0.000008876977,0.000008473444,0.002201975,0.00008566628,0.000006862671,0.00003176464,0.0001957643,0.00001860388,0.0001507881,0.0006639564,0.9966184,0.000008825654],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.003768383,0.009143039,0.000224829,0.02131676,0.003230439,0.0001652738,0.01492847,0.0003482277,0.9468747],"genre_scores_gemma":[0.01364745,0.001745596,0.0001404844,0.004739379,0.0006104956,0.0002057212,0.001625721,0.0001105328,0.9771746],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.2313874,"threshold_uncertainty_score":0.5985193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01813981706788183,"score_gpt":0.2851259463423537,"score_spread":0.2669861292744719,"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."}}