{"id":"W7036515992","doi":"","title":"2000 Census County Subdivison Block Map: McLean CCD, Texas, Inset B01","year":2000,"lang":"en","type":"other","venue":"The Portal to Texas History (University of North Texas)","topic":"Water Quality and Resources Studies","field":"Environmental Science","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":[],"consensus_categories":[],"category_scores_codex":[0.0001492347,0.0007149755,0.0001635948,0.002618823,0.0007308752,0.0008745465,0.0007631454,0.0002839302,0.2804149],"category_scores_gemma":[0.001224246,0.0002812071,0.000148344,0.006739073,0.0001474901,0.0006486307,0.0004417837,0.0005576515,0.1053188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001638782,"about_ca_system_score_gemma":0.00275263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2002646,"about_ca_topic_score_gemma":0.2630848,"domain_scores_codex":[0.9998716,0.00001076854,0.00000741908,0.00003408253,0.00004966859,0.00002643843],"domain_scores_gemma":[0.9994136,0.00002484143,0.00004848174,0.00003142335,0.0004266673,0.00005502562],"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":[0.00001515121,0.00001153555,0.0008916012,0.00006078394,0.000001166631,0.00001617601,0.00003659867,0.00008517264,0.000062279,0.0003544698,0.9896828,0.008782267],"study_design_scores_gemma":[0.00003183174,0.00001366403,0.0351559,0.00009619406,0.000004299503,0.00004988955,0.0003409749,0.0002529754,0.00014572,0.000234467,0.963667,0.000007071168],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004000704,0.0003629756,0.001118662,0.0005252283,0.0002975218,0.000315135,0.7456953,0.001147117,0.2465374],"genre_scores_gemma":[0.01845724,0.0008490922,0.003900873,0.000331417,0.0001013042,0.0007535034,0.5993322,0.0005434906,0.3757307],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2804149,"threshold_uncertainty_score":0.9380814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02418911105914333,"score_gpt":0.1865125138485387,"score_spread":0.1623234027893953,"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."}}