{"id":"W7055105087","doi":"","title":"2000 Census County Subdivison Block Map: Fort Hancock CCD, Texas, Inset B01","year":2000,"lang":"en","type":"other","venue":"The Portal to Texas History (University of North Texas)","topic":"Laser Design and Applications","field":"Engineering","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":[0.0001376243,0.000689283,0.0001534374,0.002238255,0.0009116929,0.0009721923,0.0006707716,0.0003144377,0.2939586],"category_scores_gemma":[0.0009533201,0.0002882803,0.0001332402,0.005167552,0.0001803039,0.0006764022,0.0004380435,0.0005763856,0.1331702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001423678,"about_ca_system_score_gemma":0.003132566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.21171,"about_ca_topic_score_gemma":0.2815897,"domain_scores_codex":[0.9998723,0.000008509188,0.000005770847,0.00003155832,0.00005484587,0.00002700645],"domain_scores_gemma":[0.9994571,0.00002106487,0.00003214877,0.00002710531,0.0004143036,0.00004828165],"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":[0.00001355658,0.00001165707,0.0008677613,0.00004719786,9.617561e-7,0.00001711504,0.00004040205,0.00008183776,0.00007552201,0.0004771358,0.9860455,0.0123213],"study_design_scores_gemma":[0.0000177301,0.00001261525,0.02589878,0.00006753305,0.000002925219,0.00004691232,0.0003625221,0.0001703071,0.0001359261,0.0002607897,0.973018,0.000006069762],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00516272,0.0005122394,0.001617459,0.0007025947,0.0004412856,0.0003109247,0.5064973,0.001526608,0.483229],"genre_scores_gemma":[0.01692533,0.001046983,0.003131777,0.0003005977,0.0001199686,0.0004845228,0.3414634,0.0005762625,0.6359513],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2939586,"threshold_uncertainty_score":0.9833896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01288293695606304,"score_gpt":0.1780100937721404,"score_spread":0.1651271568160774,"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."}}