{"id":"W7131272939","doi":"10.25549/wpacards-ouc11578771","title":"WPA household census for 3576 1/2 EAST 1ST STREET, Los Angeles County","year":2021,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Quarter (Canadian coin); Data collection; Administration (probate law); American Community Survey; Public use","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":[0.0006940947,0.001312832,0.001122557,0.003448676,0.0005916255,0.002047864,0.001398795,0.0005613779,0.09458592],"category_scores_gemma":[0.004328246,0.0006366913,0.0005741141,0.01036937,0.0001933582,0.001292726,0.0009546007,0.001418462,0.1061743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001946764,"about_ca_system_score_gemma":0.003876892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1235319,"about_ca_topic_score_gemma":0.1333473,"domain_scores_codex":[0.9991286,0.0001099811,0.0001202299,0.0002412095,0.0002922131,0.0001079002],"domain_scores_gemma":[0.9977223,0.0002977356,0.000239799,0.0002598216,0.001319554,0.0001608631],"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":[0.000006469177,0.000005192046,0.0005719783,0.0001220385,0.000006183555,0.000005563127,0.00001154542,0.00004640843,0.000007905962,0.0002197769,0.9975025,0.001494464],"study_design_scores_gemma":[0.00005524899,0.000006099131,0.01265066,0.0003160635,0.00001680147,0.00002319277,0.0001559851,0.0001857012,0.00006465418,0.0004253196,0.9860854,0.00001480478],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000103522,0.00004634942,0.00003773622,0.00004013179,0.00001289736,0.000007947615,0.9984475,0.00004514764,0.001258625],"genre_scores_gemma":[0.0004975506,0.000138943,0.0001481484,0.00003532778,0.00001075212,0.0001015837,0.9962499,0.00004138303,0.002776561],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1235319,"threshold_uncertainty_score":0.3164214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01612136477292473,"score_gpt":0.1731576118389138,"score_spread":0.157036247065989,"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."}}