{"id":"W7131260990","doi":"10.25549/wpacards-c8-141543","title":"WPA household census for 1313 1/2 EASTMAN 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); Administration (probate law); Data collection; 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":[0.0007242499,0.001297123,0.001095041,0.003205503,0.0005995041,0.001909734,0.001407373,0.0005336102,0.08589495],"category_scores_gemma":[0.004211294,0.0006406106,0.0005833533,0.00971047,0.0001928601,0.001215262,0.0009449598,0.001469945,0.101824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002096909,"about_ca_system_score_gemma":0.003924605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1406457,"about_ca_topic_score_gemma":0.1532157,"domain_scores_codex":[0.9991375,0.000109382,0.0001162768,0.0002426761,0.0002883043,0.0001057764],"domain_scores_gemma":[0.9975787,0.0002909012,0.0002497108,0.0002635073,0.00144912,0.0001679832],"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":[0.000006809983,0.000005935627,0.0007225653,0.0001013171,0.00000678298,0.00000570815,0.00001100029,0.00004463232,0.000007734498,0.0002016261,0.9974118,0.001474085],"study_design_scores_gemma":[0.00006422916,0.000007243277,0.01661193,0.0002993948,0.00001992828,0.00002645714,0.0001798936,0.0002180646,0.00007405538,0.0004488434,0.9820332,0.00001688551],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001233083,0.00004588197,0.00004220714,0.00004262248,0.0000131771,0.000009043359,0.9984313,0.00004357751,0.001248807],"genre_scores_gemma":[0.0005387489,0.0001302811,0.0001516456,0.00003493594,0.00001060934,0.0001059757,0.9961126,0.00003760291,0.002877687],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1406457,"threshold_uncertainty_score":0.2873472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437075337308041,"score_gpt":0.1736068157374401,"score_spread":0.1592360623643597,"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."}}