{"id":"W6998970690","doi":"","title":"2000 Census County Subdivison Block Map: Huntsville CCD, Texas, Inset B01","year":2000,"lang":"en","type":"other","venue":"","topic":"Geographic Information Systems Studies","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); 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":[],"consensus_categories":[],"category_scores_codex":[0.0002137173,0.0007663837,0.0002513303,0.002889407,0.0008731393,0.001166077,0.001142262,0.000385547,0.2867152],"category_scores_gemma":[0.001754682,0.0003978063,0.0001995886,0.007954101,0.0001861312,0.0007963842,0.0005231505,0.0008578104,0.1253216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00166212,"about_ca_system_score_gemma":0.004248456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3521231,"about_ca_topic_score_gemma":0.4355561,"domain_scores_codex":[0.9997779,0.00001861163,0.00001357651,0.00005320921,0.00009343593,0.00004328164],"domain_scores_gemma":[0.9989998,0.00004782249,0.0000600151,0.00005141576,0.0007719077,0.00006900058],"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":[0.00001380488,0.00001492486,0.0008450732,0.00006379555,0.000001742613,0.0000174514,0.0000381594,0.00007472517,0.00005263859,0.0003300729,0.9917338,0.006813726],"study_design_scores_gemma":[0.00005382125,0.00001924721,0.04918829,0.000171242,0.0000091416,0.00006785118,0.0006683,0.0003260267,0.0001665184,0.0003261424,0.9489898,0.00001355925],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003215297,0.0003060108,0.0009907808,0.0004545152,0.0003348509,0.0003465263,0.7788538,0.0009005616,0.2145977],"genre_scores_gemma":[0.01184998,0.0008126989,0.003408079,0.0003120066,0.00007350722,0.0007166446,0.6973404,0.0004455584,0.2850411],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3521231,"threshold_uncertainty_score":0.959158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01571551549101976,"score_gpt":0.2662442832348414,"score_spread":0.2505287677438217,"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."}}