{"id":"W7131244606","doi":"10.25549/wpacards-c8-152902","title":"WPA household census for 6633 MARLOW AVE, 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; American Community Survey; Administration (probate law); Value (mathematics)","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":[0.000680708,0.001213301,0.001071505,0.003180651,0.0005733729,0.001906221,0.001380491,0.0005242574,0.09049077],"category_scores_gemma":[0.004260527,0.0006036107,0.0005333244,0.009196618,0.0001797782,0.001290008,0.0009471821,0.001466916,0.1007748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001823983,"about_ca_system_score_gemma":0.003631985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1207515,"about_ca_topic_score_gemma":0.1260232,"domain_scores_codex":[0.9991882,0.0001048427,0.0001110477,0.0002308436,0.0002660056,0.00009912885],"domain_scores_gemma":[0.9975542,0.0002788107,0.0002422511,0.0002504113,0.001515218,0.0001591001],"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":[0.000006722978,0.000005031629,0.0006350687,0.0001046327,0.000006471741,0.000006114573,0.00001077186,0.00004198613,0.000007015488,0.0002325605,0.9973614,0.001582284],"study_design_scores_gemma":[0.00005812403,0.000006457924,0.01336581,0.0002987657,0.00001768876,0.00002659565,0.0001642432,0.0001841038,0.00005714623,0.0004657503,0.9853403,0.0000150061],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001125968,0.00005686062,0.00004384957,0.00005244419,0.00001584026,0.000009143015,0.9982427,0.00004703466,0.001419528],"genre_scores_gemma":[0.0005805878,0.0001636941,0.0001605328,0.00004327443,0.00001318784,0.0001127081,0.9956459,0.00004113797,0.003238795],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1207515,"threshold_uncertainty_score":0.3027218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01335711756796028,"score_gpt":0.1711244401596709,"score_spread":0.1577673225917107,"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."}}