{"id":"W7131306538","doi":"10.25549/wpacards-c8-160719","title":"WPA household census for 2032 SAN MIGUEL ST, 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; 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":[0.0006766862,0.001337173,0.001107393,0.003013463,0.0005734363,0.001855454,0.001417475,0.0005574237,0.06831413],"category_scores_gemma":[0.004112993,0.0005635792,0.0006221753,0.008882619,0.0001867523,0.00121039,0.0009133353,0.001431718,0.08447874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001834647,"about_ca_system_score_gemma":0.00353265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1356692,"about_ca_topic_score_gemma":0.1503662,"domain_scores_codex":[0.9992594,0.00009997301,0.00009900788,0.0002072585,0.000242606,0.00009175211],"domain_scores_gemma":[0.9979486,0.0002248727,0.0002002156,0.0002074103,0.001278584,0.0001402919],"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":[0.000007585955,0.000004863501,0.0007540899,0.0001041747,0.000008382853,0.00000667207,0.000008740078,0.00005014854,0.000007136247,0.0001973502,0.9974771,0.001373737],"study_design_scores_gemma":[0.00007599498,0.00000730343,0.01626586,0.0003361964,0.00002379273,0.00003432868,0.0001667992,0.0002440343,0.00007080662,0.0005656868,0.9821906,0.00001850278],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001144288,0.00006238255,0.00004047613,0.00005250367,0.00001946813,0.000006747365,0.9986584,0.0000432552,0.001002299],"genre_scores_gemma":[0.000553928,0.0001508916,0.0001299805,0.00004527137,0.00001387194,0.00008677365,0.9967092,0.00003471331,0.002275329],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1356692,"threshold_uncertainty_score":0.2697591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01569204948131086,"score_gpt":0.1787638219782516,"score_spread":0.1630717724969407,"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."}}