{"id":"W7103426975","doi":"","title":"2000 Census County Subdivison Block Map: Claude North CCD, Texas, Inset B01","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; Block (permutation group theory); Scale (ratio); Quarter (Canadian coin); Population","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":[0.0001523747,0.0006548854,0.0001549058,0.002334312,0.001023791,0.001137594,0.0008118775,0.000345724,0.3097828],"category_scores_gemma":[0.001261856,0.0003069326,0.0001454459,0.005370306,0.0001917241,0.000771079,0.0005388054,0.0006329163,0.1390149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001518864,"about_ca_system_score_gemma":0.003511969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2223451,"about_ca_topic_score_gemma":0.3196841,"domain_scores_codex":[0.9998684,0.00000996589,0.000006372272,0.00003244073,0.00004993768,0.00003294751],"domain_scores_gemma":[0.9994851,0.00002333807,0.00003855192,0.0000312788,0.0003606207,0.00006092982],"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":[0.000008804723,0.000006394957,0.0005036624,0.00004468133,7.759621e-7,0.00001336368,0.00004504526,0.00003860288,0.00003415906,0.000475473,0.9934605,0.005368494],"study_design_scores_gemma":[0.00001531858,0.000006078597,0.01441361,0.00006416077,0.000002315434,0.00002999049,0.000259187,0.00007349427,0.00005993561,0.0001491592,0.9849218,0.000004891072],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.004077819,0.0005900728,0.0009708489,0.0008738836,0.0004746345,0.000314752,0.5707237,0.001307671,0.4206666],"genre_scores_gemma":[0.01440331,0.001069876,0.002149259,0.0003837399,0.0001197351,0.0005596916,0.3827991,0.0006698307,0.5978454],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6902173,"threshold_uncertainty_score":0.9845111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01615453907045012,"score_gpt":0.1961722560537695,"score_spread":0.1800177169833194,"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."}}