{"id":"W7131299665","doi":"10.25549/wpacards-c8-157861","title":"WPA household census for 127 SOUTH DITMAN 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; 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":[0.0006691356,0.001175457,0.00106583,0.00318951,0.00057775,0.001829249,0.001368134,0.0005013807,0.08116915],"category_scores_gemma":[0.004016479,0.0005796275,0.0005113264,0.009683299,0.0001811322,0.001203976,0.0009038738,0.001427467,0.08740805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001855018,"about_ca_system_score_gemma":0.003858641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.128224,"about_ca_topic_score_gemma":0.1436438,"domain_scores_codex":[0.9992043,0.0001034036,0.0001123223,0.0002200899,0.0002608591,0.00009904964],"domain_scores_gemma":[0.9977092,0.0002589173,0.0002363457,0.0002359831,0.001402249,0.0001573603],"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":[0.000007309929,0.000005639164,0.0007254056,0.0001191704,0.000007114126,0.000006786612,0.0000127064,0.00004684893,0.0000080862,0.0002515023,0.9972589,0.001550549],"study_design_scores_gemma":[0.00006037877,0.000006889948,0.01601684,0.000321644,0.00001857857,0.00002890506,0.0001796511,0.0001914808,0.00006353929,0.0005079108,0.9825882,0.00001587794],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001208644,0.00005268594,0.00004181229,0.00004258369,0.00001467075,0.000009588557,0.9983469,0.00004166426,0.001329272],"genre_scores_gemma":[0.000545161,0.0001465036,0.000151281,0.00003781643,0.00001153373,0.0001091001,0.9962789,0.00003732665,0.002682232],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.128224,"threshold_uncertainty_score":0.2715379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0152679225512081,"score_gpt":0.1747667970322922,"score_spread":0.1594988744810841,"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."}}