{"id":"W7131243118","doi":"10.25549/wpacards-c8-138918","title":"WPA household census for 786 EAST 16TH STREET, Los Angeles","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; 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":[0.0006690702,0.001312227,0.001165341,0.003469238,0.0005974538,0.002017165,0.001540362,0.0005107715,0.09336239],"category_scores_gemma":[0.00444631,0.0006126533,0.0005683245,0.009617475,0.0001952431,0.001390023,0.0009854242,0.00156158,0.1012746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00194698,"about_ca_system_score_gemma":0.003829521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1464209,"about_ca_topic_score_gemma":0.1607332,"domain_scores_codex":[0.9991486,0.0001067172,0.0001254914,0.0002301435,0.0002841354,0.0001047982],"domain_scores_gemma":[0.9976069,0.0002605888,0.0002480547,0.0002538604,0.001475164,0.000155501],"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":[0.00000656764,0.000005139861,0.0006083063,0.0001213077,0.000006312605,0.00000615598,0.00001092929,0.00003961991,0.000006040287,0.0002215671,0.9974649,0.001503121],"study_design_scores_gemma":[0.00005619787,0.000006637727,0.01354554,0.0003283974,0.0000171334,0.0000265559,0.000163225,0.0001752078,0.00005331695,0.0004583368,0.985153,0.00001651186],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001083966,0.00005975285,0.00004426117,0.00004734477,0.00001539339,0.000009600903,0.9982224,0.00005336265,0.001439517],"genre_scores_gemma":[0.000535056,0.0001833765,0.0001553162,0.00003847243,0.00001330558,0.0001159961,0.9956366,0.00004561634,0.003276117],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1464209,"threshold_uncertainty_score":0.3123283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01651312348323455,"score_gpt":0.174801828174715,"score_spread":0.1582887046914804,"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."}}