{"id":"W7131316695","doi":"10.25549/wpacards-c8-162204","title":"WPA household census for 733 MCDONNELL 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":[0.0006691183,0.001214386,0.001076957,0.003332851,0.0006127257,0.001891184,0.001439856,0.0005158802,0.0817971],"category_scores_gemma":[0.004438984,0.0005780429,0.0005426143,0.009508855,0.0001916413,0.00119933,0.0009337167,0.001474549,0.09040823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002005308,"about_ca_system_score_gemma":0.003922564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1549532,"about_ca_topic_score_gemma":0.1763479,"domain_scores_codex":[0.9991313,0.0001062383,0.0001133529,0.0002588896,0.0002900269,0.0001001761],"domain_scores_gemma":[0.9975104,0.0002790661,0.0002457112,0.0002558382,0.001549884,0.0001590429],"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":[0.000006597569,0.000005107881,0.0007443123,0.00009850191,0.000006846497,0.000006025135,0.000009990116,0.00004242033,0.000006911832,0.0002175726,0.9973702,0.001485513],"study_design_scores_gemma":[0.0000599339,0.00000606768,0.01449549,0.0002933064,0.00001891018,0.00002660167,0.0001539627,0.0002083272,0.00006120313,0.0004913827,0.9841688,0.0000159951],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001137103,0.00005504306,0.00004419221,0.00004738993,0.0000139623,0.000008127961,0.9984384,0.00004406516,0.001235174],"genre_scores_gemma":[0.0005444521,0.0001354514,0.000150091,0.00003965599,0.00001110139,0.00008827246,0.9963026,0.00003582344,0.002692519],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1549532,"threshold_uncertainty_score":0.3081026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01469467708178992,"score_gpt":0.1715559462384165,"score_spread":0.1568612691566266,"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."}}