{"id":"W7093435584","doi":"","title":"2000 Census County Subdivison Block Map: Pearsall CCD, Texas, Inset B01","year":2000,"lang":"en","type":"other","venue":"","topic":"Probability and Statistical Research","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Block (permutation group theory); Scale (ratio); County government; 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":["insufficient_payload"],"category_scores_codex":[0.0002106485,0.0008806234,0.000239214,0.002648444,0.0009554952,0.001320502,0.00108473,0.0004075906,0.4065295],"category_scores_gemma":[0.001848876,0.0004024864,0.0002031841,0.006771361,0.0002263016,0.001023915,0.0005944729,0.000842644,0.2149521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001374856,"about_ca_system_score_gemma":0.003058736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1315227,"about_ca_topic_score_gemma":0.1579142,"domain_scores_codex":[0.9998086,0.00001690627,0.00001097911,0.00005052461,0.00007609145,0.00003702666],"domain_scores_gemma":[0.9991174,0.00004595516,0.00005611225,0.00005842618,0.0006459876,0.00007604196],"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":[0.00001152118,0.00001079031,0.0005281605,0.00004861467,9.456737e-7,0.00001420133,0.00002550719,0.00007198123,0.00003717615,0.0004996369,0.9904078,0.008343812],"study_design_scores_gemma":[0.00003189785,0.00001451789,0.0217513,0.00009298135,0.000003895615,0.00005760781,0.0002605564,0.0002658642,0.0001233032,0.0004262946,0.9769636,0.000008171874],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002949409,0.0003749461,0.001815584,0.0007828785,0.000472321,0.0003553094,0.5816395,0.00189675,0.4097132],"genre_scores_gemma":[0.01296903,0.0009867279,0.004119504,0.0003484466,0.0001597924,0.0006730084,0.4884736,0.0008763135,0.4913935],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5934705,"threshold_uncertainty_score":0.8465136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06942875982504915,"score_gpt":0.3522908096365575,"score_spread":0.2828620498115084,"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."}}