{"id":"W7131237514","doi":"10.25549/wpacards-c8-164844","title":"WPA household census for 2308 BEDESSEN 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); American Community Survey; Data collection; Administration (probate law); Population","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":[0.0006934945,0.001212672,0.001065967,0.003098876,0.0005647199,0.001868397,0.001410888,0.0005229306,0.07729116],"category_scores_gemma":[0.00429348,0.0005904473,0.0005402077,0.009196383,0.000184236,0.00124747,0.0009366803,0.001472772,0.0866395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001883806,"about_ca_system_score_gemma":0.003626422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1316405,"about_ca_topic_score_gemma":0.1374115,"domain_scores_codex":[0.9991931,0.0001071785,0.0001142844,0.0002262619,0.0002612236,0.00009795528],"domain_scores_gemma":[0.9975817,0.0002840526,0.0002380341,0.0002456601,0.001493045,0.0001574258],"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":[0.000006939811,0.000005452197,0.0006902669,0.0001065254,0.00000727227,0.000006483345,0.00001077869,0.00004783097,0.000007317908,0.0002297286,0.9974396,0.001441727],"study_design_scores_gemma":[0.00006700259,0.000007223751,0.01517071,0.0003110582,0.00002008401,0.00002959041,0.0001737335,0.000215474,0.00006416851,0.0005203524,0.9834037,0.00001681286],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001133267,0.00005140193,0.00004103845,0.00004813435,0.00001445297,0.000008445735,0.9984912,0.00004432294,0.001187663],"genre_scores_gemma":[0.0005697857,0.0001417959,0.0001514847,0.00003990111,0.00001195612,0.0001031626,0.9964701,0.00003653523,0.002475246],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1316405,"threshold_uncertainty_score":0.2617485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01449437787004882,"score_gpt":0.1770817042179595,"score_spread":0.1625873263479107,"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."}}