{"id":"W7008507963","doi":"","title":"2000 Census County Block Map: Tom Green County, Inset E01","year":2000,"lang":"en","type":"other","venue":"The Portal to Texas History (University of North Texas)","topic":"Archaeology and Natural History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Block (permutation group theory); Scale (ratio); Quarter (Canadian coin); Census tract","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":[0.0001223427,0.0007288776,0.0001561416,0.001574602,0.0008013323,0.00080996,0.000594867,0.0003069642,0.2932207],"category_scores_gemma":[0.0008163693,0.0002597282,0.0001302071,0.004813344,0.0001411679,0.00063799,0.0004309607,0.0005531608,0.1312704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001108173,"about_ca_system_score_gemma":0.002112738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1563004,"about_ca_topic_score_gemma":0.2485664,"domain_scores_codex":[0.9999058,0.000008378112,0.000005433477,0.00002541584,0.00003129256,0.00002353672],"domain_scores_gemma":[0.999692,0.00001667915,0.00002721135,0.00001861357,0.0002096025,0.00003601599],"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":[0.00001417133,0.00001139694,0.0008313179,0.00004956637,0.00000116374,0.00001865378,0.00004501429,0.00006035515,0.00004252594,0.0002957047,0.990315,0.008315085],"study_design_scores_gemma":[0.00002974227,0.00001254208,0.03134127,0.00009625208,0.000004727619,0.00005083338,0.0005170978,0.0001810721,0.00009246378,0.0002410732,0.9674269,0.00000590411],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0066559,0.0005171412,0.0008449802,0.0006559335,0.0004537179,0.0002809384,0.6687696,0.0008915243,0.3209302],"genre_scores_gemma":[0.02398625,0.001366294,0.002817257,0.0003687633,0.0001204317,0.0006385114,0.4878138,0.0005540296,0.4823348],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2932207,"threshold_uncertainty_score":0.980921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01562748592820533,"score_gpt":0.2149559472045347,"score_spread":0.1993284612763294,"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."}}