{"id":"W4413725706","doi":"10.64628/aam.uhuxythyr","title":"‘Clearing the plains’ continues with the acquittal of Gerald Stanley","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Political and Economic history of UK and US","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Acquittal; Clearing; Law and economics; Economics; History; Law; Political science; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005475786,0.0009750452,0.001349289,0.001229045,0.01028704,0.01213369,0.001704598,0.02107023,0.006691856],"category_scores_gemma":[0.02811309,0.0005701507,0.000443337,0.001480884,0.01893232,0.01587604,0.00520176,0.03534401,0.003494082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003767074,"about_ca_system_score_gemma":0.003399422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02477825,"about_ca_topic_score_gemma":0.03990799,"domain_scores_codex":[0.9951959,0.001928633,0.0002146601,0.001007466,0.001065757,0.0005876929],"domain_scores_gemma":[0.9903995,0.006101886,0.0005091774,0.0005940187,0.001429905,0.0009654766],"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":[0.00001688674,0.000004187796,0.00008295218,0.00002449977,0.000008114586,0.00008415249,0.002890161,0.00002064445,0.00003626633,0.07647896,0.9162447,0.004108496],"study_design_scores_gemma":[0.000007248911,0.00000381237,0.0001876841,0.0001761385,0.000004952449,0.0000626236,0.003172738,0.00004054238,0.0001185636,0.04792695,0.9482714,0.00002729492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0005912333,0.008720034,0.0001939866,0.9702363,0.01394083,0.000001976145,0.00002476705,0.00001792085,0.006272927],"genre_scores_gemma":[0.05375116,0.008762078,0.0005599636,0.8338603,0.04358099,0.0000267917,0.00004303956,0.0002408495,0.05917475],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02477825,"threshold_uncertainty_score":0.04926807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03375437842024626,"score_gpt":0.2799005102354837,"score_spread":0.2461461318152375,"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."}}