{"id":"W7131302523","doi":"10.25549/wpacards-c8-160104","title":"WPA household census for 4252 CARLIN 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":[0.0006959609,0.001208646,0.00108916,0.003083141,0.0005873084,0.001925588,0.001354921,0.0005499594,0.08786396],"category_scores_gemma":[0.004354645,0.0006031443,0.0005171571,0.009100771,0.000183297,0.001284521,0.0009400123,0.001486782,0.1010191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00187682,"about_ca_system_score_gemma":0.003735626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1226399,"about_ca_topic_score_gemma":0.1285588,"domain_scores_codex":[0.99919,0.0001015714,0.0001069319,0.000233539,0.0002678833,0.0001000326],"domain_scores_gemma":[0.9975775,0.0002882366,0.000237989,0.0002545538,0.001479632,0.000162197],"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":[0.000006586494,0.000005042273,0.0006053614,0.00009432203,0.000006081261,0.000005809756,0.000009886122,0.00003939844,0.00000693021,0.0002191554,0.9975362,0.001465142],"study_design_scores_gemma":[0.00005761024,0.000006363425,0.01266962,0.0002849998,0.00001707634,0.00002601067,0.0001590286,0.0001848951,0.00005985058,0.0004588934,0.9860611,0.00001442871],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000110818,0.00005580409,0.00004315098,0.00005363603,0.00001569947,0.00000869561,0.9982893,0.0000465496,0.001376246],"genre_scores_gemma":[0.0005621669,0.000153485,0.0001513321,0.00004404754,0.00001271556,0.0001025737,0.9957595,0.0000391622,0.003174985],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1226399,"threshold_uncertainty_score":0.2939342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01428151093320998,"score_gpt":0.1751292059286856,"score_spread":0.1608476949954756,"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."}}