{"id":"W7134685366","doi":"","title":"2000 Census County Subdivison Block Map: Morton CCD, Texas, Inset B01","year":2000,"lang":"en","type":"other","venue":"The Portal to Texas History (University of North Texas)","topic":"","field":"","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001422838,0.0008717805,0.0002097935,0.002352978,0.0009688165,0.001095838,0.0009024015,0.0003679163,0.3685964],"category_scores_gemma":[0.001243593,0.00037208,0.0001786022,0.005886728,0.0001916506,0.0008391156,0.0005359407,0.0007250811,0.208878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001313808,"about_ca_system_score_gemma":0.002798569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1630335,"about_ca_topic_score_gemma":0.2231017,"domain_scores_codex":[0.9998583,0.000009797483,0.000007584531,0.00003550707,0.0000562211,0.00003249006],"domain_scores_gemma":[0.9994231,0.0000234611,0.00004240678,0.00003688092,0.0004200082,0.00005419583],"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":[0.00001033051,0.000007439665,0.0003746229,0.00004019962,7.416228e-7,0.00001002421,0.0000229695,0.0000451034,0.00003297636,0.000313401,0.994149,0.004993225],"study_design_scores_gemma":[0.00002367097,0.000009774391,0.01691221,0.00008348469,0.000003073789,0.00003324642,0.0002503553,0.0001274766,0.00009935547,0.000214168,0.9822373,0.000005934974],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002683792,0.0002819193,0.0008863932,0.0004678527,0.0004718924,0.0002755454,0.669561,0.001170613,0.324201],"genre_scores_gemma":[0.01024958,0.0007603844,0.002062917,0.0002780148,0.0001334562,0.000555963,0.4957457,0.000706117,0.4895079],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3685964,"threshold_uncertainty_score":0.9006206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01677695663160893,"score_gpt":0.1984571678870464,"score_spread":0.1816802112554375,"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."}}