{"id":"W7131207943","doi":"10.25549/wpacards-ouc11571985","title":"WPA household census for 4856 1/2 58TH STREET, 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); Public use","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":[0.0006738796,0.00129808,0.001101497,0.00326196,0.0006143601,0.002060566,0.001405893,0.0005657174,0.102496],"category_scores_gemma":[0.004213975,0.0006217091,0.000574563,0.009768758,0.0001972352,0.001273985,0.0009444329,0.001492813,0.1192485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001887976,"about_ca_system_score_gemma":0.003804308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1216065,"about_ca_topic_score_gemma":0.1358523,"domain_scores_codex":[0.9991378,0.0001073512,0.0001152679,0.0002448934,0.0002933275,0.0001013039],"domain_scores_gemma":[0.9976746,0.0002832982,0.0002399694,0.000272847,0.001362469,0.0001666722],"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":[0.00000612176,0.000005609806,0.0005922822,0.00009700074,0.000005374182,0.000005268719,0.00001042624,0.00004138765,0.000007226782,0.0001900577,0.9975991,0.001440256],"study_design_scores_gemma":[0.00005839491,0.000006597297,0.0137124,0.0002901868,0.0000164455,0.00002385868,0.0001633252,0.0001907993,0.0000655113,0.000425841,0.9850315,0.00001519498],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001142684,0.00004541315,0.00003959797,0.0000432038,0.00001455921,0.000009290776,0.9981957,0.00004784309,0.001490065],"genre_scores_gemma":[0.0005140255,0.0001430574,0.0001554488,0.00003653672,0.00001228385,0.000117623,0.9955494,0.00004313313,0.003428389],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1216065,"threshold_uncertainty_score":0.3428833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01439698681560824,"score_gpt":0.1755242349668971,"score_spread":0.1611272481512889,"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."}}