{"id":"W6964635897","doi":"10.25549/wpacards-c8-149544","title":"WPA block face card for household census (block 1905) in Los Angeles","year":2014,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Block (permutation group theory); Face (sociological concept); Quarter (Canadian coin); Population","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":[0.0005674612,0.001531167,0.001203918,0.005211432,0.0007736381,0.001926661,0.001875648,0.001109556,0.1019425],"category_scores_gemma":[0.004782842,0.000801448,0.0006698802,0.009897475,0.0002832729,0.001240041,0.001480924,0.001244582,0.1237045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001833544,"about_ca_system_score_gemma":0.003835762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1647592,"about_ca_topic_score_gemma":0.2215957,"domain_scores_codex":[0.9991814,0.00008042042,0.00009387387,0.0002111043,0.0002635006,0.0001696293],"domain_scores_gemma":[0.997118,0.0003187565,0.0003783909,0.0004641411,0.00143905,0.0002816407],"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":[0.00002864602,0.00001347113,0.001335537,0.0001026786,0.00001006973,0.000009745409,0.00001573235,0.0001110328,0.00002646519,0.0001398786,0.9964815,0.001725217],"study_design_scores_gemma":[0.0001257994,0.00001353604,0.02734293,0.000228183,0.00002523717,0.000040566,0.0002353163,0.000621246,0.0003252448,0.0004593789,0.970543,0.00003950701],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002240628,0.00001591675,0.00003334635,0.00002128041,0.000009878008,0.000009080515,0.9987661,0.0001034122,0.0008169917],"genre_scores_gemma":[0.0004928359,0.00002869796,0.0001049973,0.00001598557,0.000005613777,0.00007191379,0.9971293,0.00002865702,0.002122049],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1647592,"threshold_uncertainty_score":0.3410317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01305350242641056,"score_gpt":0.1756088900911173,"score_spread":0.1625553876647067,"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."}}