{"id":"W6927002763","doi":"10.25549/impa-m24957","title":"Haussa quarter in Accra. Cattle dealer and butcher with a remarkable ram.","year":2012,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Butcher; Quarter (Canadian coin); Beef cattle; Mascot","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":[0.000624066,0.001771362,0.001277622,0.003445174,0.00100842,0.002802231,0.002256789,0.00176266,0.0936281],"category_scores_gemma":[0.002520595,0.0007686862,0.0008230218,0.006053561,0.000332733,0.001620314,0.001329145,0.001975667,0.1213619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001530255,"about_ca_system_score_gemma":0.002012247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09366584,"about_ca_topic_score_gemma":0.2330999,"domain_scores_codex":[0.9995129,0.00005364971,0.00004711001,0.0001365906,0.0001162952,0.0001334695],"domain_scores_gemma":[0.9986934,0.0001864364,0.0002410033,0.0002392681,0.0004349103,0.0002050249],"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":[0.00003346278,0.000009543614,0.0008887131,0.0001929536,0.000008990843,0.0000111829,0.00001389384,0.00004876817,0.00002099444,0.0001582835,0.9973673,0.001245801],"study_design_scores_gemma":[0.00008411514,0.000008662199,0.008797657,0.0002583687,0.00001153742,0.00003628542,0.0001980356,0.0001624963,0.0001291204,0.0004077678,0.9898928,0.000013147],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002004184,0.0001023493,0.0000277174,0.00008430324,0.00004418073,0.000005080428,0.9979327,0.0001751727,0.001428157],"genre_scores_gemma":[0.0007822886,0.00007832915,0.0001222126,0.00005076233,0.00001247591,0.00001829685,0.9965605,0.00005588928,0.002319185],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09366584,"threshold_uncertainty_score":0.3132172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00610262694311897,"score_gpt":0.1574570268766367,"score_spread":0.1513543999335178,"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."}}