{"id":"W7027149046","doi":"","title":"2000 Census County Subdivison Block Map: Rio Grande City-San Isidro CCD, Texas, Inset A02","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); Square (algebra); 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":[0.0001367174,0.0006665914,0.0001860877,0.001990582,0.0005766492,0.0007915507,0.0008431423,0.0002189119,0.1555789],"category_scores_gemma":[0.0009261231,0.0002748925,0.0001725953,0.005880197,0.000150284,0.0004900112,0.0003471144,0.0005003075,0.06635628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00143903,"about_ca_system_score_gemma":0.002776872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2858936,"about_ca_topic_score_gemma":0.3963133,"domain_scores_codex":[0.9998649,0.000009439839,0.000007531984,0.0000345908,0.00005900659,0.00002455226],"domain_scores_gemma":[0.9995735,0.0000149323,0.0000344885,0.00002609224,0.0003189508,0.00003207222],"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":[0.00002000162,0.00002228137,0.002047665,0.00009793226,0.000002934281,0.00002621847,0.00004892283,0.0001486902,0.000111059,0.00042477,0.985481,0.0115686],"study_design_scores_gemma":[0.00004718585,0.0000196903,0.07032461,0.0001035315,0.00000907382,0.00007667001,0.0004599597,0.0003456436,0.0002317345,0.0001918437,0.9281799,0.00001018145],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006403852,0.0003762653,0.0008478622,0.0004686917,0.0002469602,0.0003527469,0.7632188,0.0009054673,0.2271793],"genre_scores_gemma":[0.02482039,0.001181361,0.003626662,0.0002067977,0.00007993859,0.0007445928,0.6599255,0.0004493826,0.3089654],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2858936,"threshold_uncertainty_score":0.568459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02932592042466687,"score_gpt":0.2240835580163676,"score_spread":0.1947576375917008,"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."}}