{"id":"W7068939286","doi":"","title":"Canfield, Ohio","year":2009,"lang":"en","type":"other","venue":"OhioLink ETD Center (Ohio Library and Information Network)","topic":"Medieval and Early Modern Justice","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Front (military); Carriage; Front line; Quarter (Canadian coin)","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":[],"category_scores_codex":[0.0002138058,0.0002951799,0.0003320782,0.0001752685,0.000338722,0.0003555653,0.0003538066,0.0005809359,0.008460553],"category_scores_gemma":[0.00002253528,0.0002717581,0.0000942559,0.0002608281,0.0001395839,0.00396913,0.00009812076,0.0004213286,0.0003156128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001208903,"about_ca_system_score_gemma":0.0001562195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007130775,"about_ca_topic_score_gemma":0.00009757658,"domain_scores_codex":[0.9982426,0.0001614115,0.0004172209,0.0002105718,0.0003635205,0.0006047077],"domain_scores_gemma":[0.9990091,0.00006438325,0.0003186853,0.0002434969,0.00001715191,0.0003472244],"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":[0.00001977782,0.0000119282,0.00002758977,0.00006676655,0.00002139851,0.000002014037,0.0009540951,0.00001162213,2.538547e-8,0.3273085,0.6435213,0.02805503],"study_design_scores_gemma":[0.0003277639,0.00003626654,0.0001416302,0.0003990912,0.00002722418,0.000002352004,0.00005764661,0.0001335723,5.050884e-7,0.000694354,0.9978597,0.0003198981],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000005761362,0.001271387,0.0003655247,0.001966153,0.001471775,0.0003955277,0.00006807294,0.0004564289,0.9939994],"genre_scores_gemma":[0.003437065,0.03764628,0.001253435,0.02137086,0.01014035,0.00002743539,0.00125656,0.0001654317,0.9247026],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3543384,"threshold_uncertainty_score":0.9999735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01147848868120371,"score_gpt":0.2251457312616778,"score_spread":0.2136672425804741,"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."}}