{"id":"W7131294438","doi":"10.25549/wpacards-c8-150690","title":"WPA household census for 4222 BANDINI BLVD, 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; Population statistics","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":[0.0006221143,0.001270171,0.001098483,0.002985875,0.0005657861,0.001967732,0.00131766,0.0005318099,0.08635773],"category_scores_gemma":[0.003929639,0.0005858794,0.000529587,0.008454956,0.0001825693,0.001217831,0.0008846451,0.00143512,0.09721716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001829977,"about_ca_system_score_gemma":0.003313846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.117498,"about_ca_topic_score_gemma":0.1343216,"domain_scores_codex":[0.9992242,0.00009637012,0.0001039484,0.0002407212,0.0002469184,0.00008779321],"domain_scores_gemma":[0.9978787,0.0002453197,0.0002121724,0.0002256122,0.001291377,0.0001468221],"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":[0.000006677436,0.000005361169,0.0006926211,0.00009290268,0.000006236063,0.000005611619,0.000008554967,0.00004166952,0.000006904628,0.0001901322,0.9973783,0.001564969],"study_design_scores_gemma":[0.00006687493,0.000006619292,0.01388031,0.0002962941,0.00001890342,0.00002778265,0.0001476037,0.0002203099,0.00006249756,0.0004758738,0.9847817,0.00001526295],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001264151,0.00006463366,0.00004565462,0.00005736501,0.00001741344,0.000009274185,0.9981632,0.00005373051,0.001462301],"genre_scores_gemma":[0.000582483,0.0001706064,0.0001561342,0.00004459136,0.00001512851,0.0001089336,0.9956843,0.00003978304,0.003198141],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.117498,"threshold_uncertainty_score":0.2888954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01496149551706707,"score_gpt":0.175477004977666,"score_spread":0.1605155094605989,"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."}}