{"id":"W7131217368","doi":"10.25549/wpacards-ouc11587032","title":"WPA household census for 5007 HUBBARD 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":[0.0006491334,0.001195134,0.001036147,0.003235231,0.0005648442,0.001767382,0.00135079,0.0005003492,0.0775692],"category_scores_gemma":[0.004121682,0.000571881,0.000494744,0.009455184,0.0001783048,0.001194521,0.0008993033,0.001414776,0.08874068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001874844,"about_ca_system_score_gemma":0.003605233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.139213,"about_ca_topic_score_gemma":0.1463708,"domain_scores_codex":[0.999252,0.00009608555,0.0001016009,0.0002108069,0.0002463248,0.00009308493],"domain_scores_gemma":[0.997601,0.0002663721,0.000232509,0.0002381867,0.001507175,0.0001547884],"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":[0.000006333309,0.00000500048,0.0006586511,0.00009919006,0.000006574649,0.000006260002,0.0000106594,0.0000434323,0.000007200856,0.0002287715,0.997434,0.001493944],"study_design_scores_gemma":[0.0000580972,0.000006630471,0.01481281,0.0002878225,0.00001877213,0.0000278287,0.000174177,0.0002090846,0.00006703018,0.0004792307,0.9838425,0.0000160009],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001247636,0.00005445629,0.00004301427,0.00004941615,0.00001444372,0.000008699149,0.9983585,0.00004778135,0.001298938],"genre_scores_gemma":[0.0005938477,0.0001495884,0.0001465464,0.00004015118,0.00001194247,0.00009999085,0.9961235,0.00003752895,0.002796954],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.139213,"threshold_uncertainty_score":0.2768055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01487680325798106,"score_gpt":0.1771960628909373,"score_spread":0.1623192596329563,"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."}}