{"id":"W6926692721","doi":"10.25549/wpacards-c8-131961","title":"WPA block face card for household census (block 429) in Los Angeles","year":2014,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Imbalanced Data Classification Techniques","field":"Computer Science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006405871,0.001274576,0.000871518,0.002896382,0.0007168347,0.001146667,0.001973643,0.0008649452,0.04062839],"category_scores_gemma":[0.003642309,0.0005451114,0.0005442675,0.004988038,0.0002953483,0.000896331,0.001268553,0.001186599,0.05022744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001520072,"about_ca_system_score_gemma":0.003152232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1024098,"about_ca_topic_score_gemma":0.1718818,"domain_scores_codex":[0.9992936,0.00007517195,0.0000699708,0.0001859621,0.0002369485,0.0001383775],"domain_scores_gemma":[0.9977649,0.0001542379,0.0002013252,0.0004877656,0.001152342,0.000239355],"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":[0.00005654645,0.00004597764,0.00321492,0.00008380983,0.00001335198,0.00001940288,0.00002268385,0.0002603147,0.00008382191,0.0001587823,0.9910651,0.004975225],"study_design_scores_gemma":[0.0002018107,0.00004208686,0.0692659,0.0001964045,0.00002829504,0.00008721159,0.0004817926,0.002630579,0.001173935,0.0006103346,0.9252267,0.0000548934],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002313126,0.00002943304,0.0001614634,0.00007460651,0.00004223597,0.00005160164,0.9952381,0.0003272874,0.001762257],"genre_scores_gemma":[0.002356097,0.00003491513,0.0003640369,0.00002656816,0.0000130485,0.0001623352,0.993648,0.00003353361,0.003361459],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9593716,"threshold_uncertainty_score":0.2036275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01456277858214708,"score_gpt":0.1851044748354025,"score_spread":0.1705416962532554,"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."}}