{"id":"W7094263329","doi":"","title":"2000 Census County Subdivison Block Map: Ector CCD, Texas, Inset B01","year":2000,"lang":"en","type":"other","venue":"","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); Statistical analysis; 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":[],"category_scores_codex":[0.0001653432,0.0007994598,0.0002015903,0.002187397,0.0006575355,0.000798154,0.0008505576,0.0002673548,0.2713934],"category_scores_gemma":[0.001107888,0.0003379867,0.0001855786,0.005836601,0.0001454673,0.0006212294,0.0004219444,0.0005544004,0.1315132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001253441,"about_ca_system_score_gemma":0.002498993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1742442,"about_ca_topic_score_gemma":0.230236,"domain_scores_codex":[0.9998477,0.0000124503,0.00000966519,0.00004304418,0.00005481435,0.00003231013],"domain_scores_gemma":[0.9993773,0.00002506636,0.00005323265,0.00003976836,0.0004551815,0.00004943738],"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":[0.00001821921,0.00001570361,0.001027756,0.00006784942,0.000001696777,0.00001399127,0.00002304327,0.00008733316,0.00006864337,0.0002650165,0.9906495,0.00776119],"study_design_scores_gemma":[0.00004837858,0.00001993501,0.04849685,0.0001157276,0.000007026349,0.00005505,0.0002996285,0.000365249,0.0002314273,0.0002186676,0.9501327,0.000009413096],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003160808,0.000205861,0.0009454344,0.0003342926,0.0002335992,0.0002678652,0.8234907,0.0007429206,0.1706185],"genre_scores_gemma":[0.01292543,0.000631685,0.002699614,0.0002170288,0.0000750727,0.0006189189,0.724547,0.0003873062,0.2578979],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7286066,"threshold_uncertainty_score":0.9079013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02639516647613108,"score_gpt":0.2183805906657003,"score_spread":0.1919854241895693,"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."}}