{"id":"W6995559135","doi":"","title":"Ontario, County of and Ontario County Sheriff and Ontario County Sheriffs Unit 7850-01, CSEA, Local 1000 AFSCME, AFL-CIO, Ontario County Local 835 (2009)","year":2009,"lang":"en","type":"other","venue":"eCommons (Cornell University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unit (ring theory); County government; Local government; Medical unit","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002067479,0.0004899386,0.0003224261,0.0007291249,0.004396847,0.002082759,0.0008614775,0.0008236035,0.3808419],"category_scores_gemma":[0.001075621,0.0005256893,0.0003166014,0.002415613,0.0003742666,0.0007180907,0.0008146794,0.0007753791,0.1130339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01376568,"about_ca_system_score_gemma":0.03925704,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.976654,"about_ca_topic_score_gemma":0.9946619,"domain_scores_codex":[0.999624,0.000008440695,0.00001185356,0.00003540311,0.0001833041,0.0001370204],"domain_scores_gemma":[0.9991829,0.00002686423,0.00002619507,0.00003067167,0.000532981,0.0002003452],"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":[0.00002728641,0.00001368307,0.001575306,0.00009061955,0.000002799433,0.00004327938,0.0001238485,0.00005453965,0.0001118031,0.00170851,0.9791679,0.01708028],"study_design_scores_gemma":[0.00001589416,0.000005475808,0.01065865,0.0000576482,0.000004497358,0.00002125527,0.0003297827,0.00005604068,0.0001002629,0.0001340909,0.9886088,0.000007577854],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003823146,0.0008895877,0.0003481646,0.001417231,0.0002066363,0.0001768842,0.09901315,0.0004304634,0.8936946],"genre_scores_gemma":[0.006419483,0.0005816063,0.0003983787,0.0002338161,0.00001677206,0.00006238274,0.01361528,0.0002145901,0.9784577],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.976654,"threshold_uncertainty_score":0.8831539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02096584706828636,"score_gpt":0.1869094663736696,"score_spread":0.1659436193053832,"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."}}