{"id":"W7128564763","doi":"","title":"[Letter from] George W. Manypenny Has received Agent Dorn's cash accounts for the 4th quarter 1856","year":2013,"lang":"en","type":"article","venue":"ThinkTech (Texas Tech University)","topic":"Legal Cases and Commentary","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"George (robot); Cash; Quarter (Canadian coin); Control (management)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001637391,0.0002981023,0.0003439803,0.0002018509,0.0004297151,0.0001265147,0.0005549185,0.0001930029,0.001995017],"category_scores_gemma":[0.00002262932,0.0002236403,0.0002682818,0.0003201676,0.0001608326,0.0003867365,0.0002360199,0.0004670213,0.0009306486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003325272,"about_ca_system_score_gemma":0.00008201403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0049327,"about_ca_topic_score_gemma":0.0002409427,"domain_scores_codex":[0.9984357,0.00005555862,0.0002181791,0.000457782,0.000342634,0.0004900918],"domain_scores_gemma":[0.9984469,0.0002282946,0.0001195409,0.0008527085,0.0001633898,0.0001891125],"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":[0.0007164199,0.0003820624,0.002904826,0.00007070522,0.0006702371,0.0004758576,0.0009636508,0.000003076233,0.01221046,0.0007717006,0.9744523,0.0063787],"study_design_scores_gemma":[0.002938469,0.0003482475,0.009484565,0.00007744661,0.0005194798,0.00003476798,0.0006530996,0.0002456512,0.002944029,0.0006184429,0.9817849,0.0003508365],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8536654,0.0003174405,0.003734741,0.123045,0.000790304,0.003948864,0.0002141976,0.0005738198,0.01371027],"genre_scores_gemma":[0.9396513,0.0001361332,0.00252357,0.03017707,0.0006362451,0.00002177714,0.0002320898,0.00007054624,0.02655126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09286793,"threshold_uncertainty_score":0.9998472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03479863925356097,"score_gpt":0.2428556954127539,"score_spread":0.2080570561591929,"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."}}