{"id":"W6989782446","doi":"","title":"2000 Census County Block Map: Smith County, Inset B01","year":2000,"lang":"en","type":"other","venue":"","topic":"Archaeology and Natural History","field":"Social Sciences","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":["insufficient_payload"],"category_scores_codex":[0.000160954,0.0008167988,0.0001882375,0.002383484,0.0006800528,0.0008183854,0.0007175024,0.0002998364,0.3200324],"category_scores_gemma":[0.001136131,0.0003547619,0.0001535991,0.005858189,0.0001364875,0.0006654293,0.0004217138,0.0005877575,0.1713259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0011603,"about_ca_system_score_gemma":0.002252499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1294868,"about_ca_topic_score_gemma":0.1836293,"domain_scores_codex":[0.9998736,0.00001161948,0.000008280656,0.00003539149,0.00004395205,0.00002707077],"domain_scores_gemma":[0.9995531,0.00002659953,0.00004144863,0.0000323775,0.0002949247,0.0000514356],"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":[0.00001886125,0.00001702727,0.0009637574,0.00006087696,0.000001570303,0.0000173039,0.00003622021,0.00007785673,0.00004626529,0.0002846523,0.9860635,0.01241209],"study_design_scores_gemma":[0.00003638404,0.00001757661,0.03727996,0.00009779898,0.000004818096,0.00005303013,0.0002893435,0.0002129164,0.0001369942,0.0002179889,0.9616466,0.000006604469],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005201537,0.0004558496,0.0007333121,0.0004745832,0.0002869986,0.0002782841,0.6754362,0.0008812696,0.316252],"genre_scores_gemma":[0.01671488,0.001339287,0.002339242,0.0002221643,0.0001036296,0.000500676,0.4875593,0.0004616096,0.4907593],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6799676,"threshold_uncertainty_score":0.9698913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01230401063415584,"score_gpt":0.2661501408893302,"score_spread":0.2538461302551743,"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."}}