{"id":"W6964538168","doi":"10.25549/wpacards-c8-149752","title":"WPA block face card for household census (block 1911) in Los Angeles","year":2014,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","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":[0.0004221649,0.001862586,0.001168502,0.003130921,0.000708261,0.001059195,0.002119329,0.001209215,0.05067752],"category_scores_gemma":[0.002163016,0.0005716144,0.0007804597,0.003726923,0.0003073083,0.0007685588,0.001245293,0.001106074,0.07320648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001241245,"about_ca_system_score_gemma":0.002254811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1097499,"about_ca_topic_score_gemma":0.1915774,"domain_scores_codex":[0.999469,0.00004859024,0.00004098026,0.000159075,0.0001662495,0.0001162143],"domain_scores_gemma":[0.9988598,0.0001018714,0.0001001741,0.0002680899,0.0005315896,0.0001385879],"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":[0.00006750757,0.00003973133,0.001736327,0.0001270465,0.00001812812,0.00002200182,0.00001438649,0.00021536,0.0001103046,0.00008338426,0.9929476,0.00461815],"study_design_scores_gemma":[0.0003096788,0.0000521267,0.06029955,0.0002570665,0.00005145253,0.0001775521,0.0003482998,0.002732918,0.001179053,0.000630122,0.9338841,0.00007794265],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00111759,0.00004586147,0.00009522812,0.00004229476,0.00002989795,0.00003038699,0.9972203,0.0003217798,0.001096688],"genre_scores_gemma":[0.001069449,0.00003181054,0.0001829192,0.00001659514,0.00000775745,0.00007923675,0.9969132,0.00002165487,0.001677372],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1097499,"threshold_uncertainty_score":0.2182222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01239912318229704,"score_gpt":0.1647433637738423,"score_spread":0.1523442405915452,"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."}}