{"id":"W7094489490","doi":"","title":"Miami CCD","year":2000,"lang":"en","type":"other","venue":"The Portal to Texas History (University of North Texas)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Miami; Scale (ratio); Block (permutation group theory); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00026726,0.0007649529,0.0003229232,0.002811714,0.002272464,0.00225564,0.001358147,0.0005659086,0.5484429],"category_scores_gemma":[0.0009370695,0.0003885794,0.0003088155,0.003875166,0.0002043934,0.00115654,0.001358629,0.0008325989,0.3304356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001661224,"about_ca_system_score_gemma":0.002003031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07255582,"about_ca_topic_score_gemma":0.1471806,"domain_scores_codex":[0.9997286,0.00001224369,0.000008351461,0.0000600574,0.000142791,0.00004796575],"domain_scores_gemma":[0.9992176,0.0000169388,0.00002995369,0.0000740035,0.000585165,0.00007630458],"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":[0.000008406199,0.000006743359,0.0002055387,0.0000208392,9.220327e-7,0.00001436108,0.00002639475,0.00001391272,0.0001669025,0.0006044644,0.9894941,0.009437371],"study_design_scores_gemma":[0.000004201002,0.000002415881,0.002777717,0.00001868722,0.000001874266,0.00002196678,0.0000785068,0.00004553446,0.0002273304,0.0001495068,0.9966684,0.000003882958],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.001876905,0.0003211496,0.002352644,0.0009080396,0.0009669355,0.0002480348,0.1478726,0.003692542,0.8417612],"genre_scores_gemma":[0.009109815,0.000675751,0.007834084,0.0009340227,0.0002986218,0.0004954442,0.2216337,0.001770314,0.7572482],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.4515571,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01614708028078714,"score_gpt":0.1935240573968935,"score_spread":0.1773769771161064,"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."}}