{"id":"W6964334785","doi":"10.25549/wpacards-m84441","title":"WPA block face card for household census of 103rd, 104th, Vermont Streets, in Los Angeles County","year":2012,"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)","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":[0.0005637599,0.001528549,0.001323163,0.005485233,0.0008234704,0.001949234,0.001909991,0.000985456,0.1074135],"category_scores_gemma":[0.00436146,0.0009140039,0.0006466293,0.0124499,0.0002191585,0.001123318,0.001163469,0.001290353,0.1093715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002039675,"about_ca_system_score_gemma":0.004624998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.228317,"about_ca_topic_score_gemma":0.2944954,"domain_scores_codex":[0.9992146,0.00006521848,0.000101229,0.0001997831,0.0002557823,0.0001632935],"domain_scores_gemma":[0.9968419,0.0002944177,0.0004486966,0.0003560613,0.001762958,0.0002959119],"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":[0.00002580071,0.000012918,0.001618565,0.000125828,0.00001004091,0.00000940046,0.00001906217,0.00009167679,0.00002414785,0.0001269509,0.9963626,0.0015731],"study_design_scores_gemma":[0.0001742192,0.00001777651,0.04844403,0.0003174788,0.00003455725,0.00004305151,0.0003191135,0.0004991016,0.0003409095,0.0003898071,0.9493803,0.0000396687],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001555004,0.00001206106,0.00002511615,0.00001411083,0.000006393606,0.000009677286,0.9990714,0.00005364678,0.0006520879],"genre_scores_gemma":[0.0005416605,0.00003217997,0.00009666102,0.00001788738,0.000005432479,0.00009728276,0.9965162,0.00002638566,0.002666271],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.228317,"threshold_uncertainty_score":0.453976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0146807366437681,"score_gpt":0.176734103112979,"score_spread":0.1620533664692109,"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."}}