{"id":"W6889415735","doi":"10.25549/wpacards-m102832","title":"WPA block face card for household census (block 2111) of Gibbons, Lamar Streets, in Los Angeles","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":[0.0004958372,0.001654913,0.001277187,0.004493906,0.0007205509,0.00180596,0.001706584,0.0009518139,0.1220745],"category_scores_gemma":[0.003596222,0.0007769505,0.0005717354,0.008202071,0.0002184906,0.0009553732,0.001142614,0.001186041,0.1400402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001554998,"about_ca_system_score_gemma":0.003246385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1633453,"about_ca_topic_score_gemma":0.2617312,"domain_scores_codex":[0.999405,0.00005722397,0.00006357567,0.0001683678,0.0001800285,0.0001257214],"domain_scores_gemma":[0.9978927,0.0002178116,0.0002574903,0.0002953239,0.001091097,0.0002455762],"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":[0.00002115567,0.000008622702,0.0008213635,0.0000940031,0.000006096757,0.000008054307,0.00001255719,0.00006310553,0.00002375139,0.0000951394,0.9973807,0.001465441],"study_design_scores_gemma":[0.0001235189,0.00001391201,0.02748176,0.0002387492,0.00002104822,0.0000440201,0.0002014208,0.0004857838,0.0003221045,0.0003460072,0.9706879,0.0000337526],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001496854,0.00001589049,0.00003178543,0.00001567659,0.000006934531,0.000008586367,0.9988524,0.00009658613,0.0008225154],"genre_scores_gemma":[0.0003774828,0.00002707729,0.00009839464,0.00001208851,0.000003920808,0.00006974723,0.9971661,0.00002843709,0.002216735],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1633453,"threshold_uncertainty_score":0.4083798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01502737632215635,"score_gpt":0.1803036413983223,"score_spread":0.165276265076166,"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."}}