{"id":"W7131213679","doi":"10.25549/wpacards-c8-159678","title":"WPA household census for 4169 1/2 CARLIN 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; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007051932,0.001288906,0.001115819,0.003251564,0.0006178069,0.002006836,0.001412644,0.0005582032,0.0912966],"category_scores_gemma":[0.004272821,0.0006417429,0.0005705144,0.009467653,0.0001901619,0.001291022,0.0009460556,0.001517197,0.104342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002048429,"about_ca_system_score_gemma":0.00381843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1349999,"about_ca_topic_score_gemma":0.1476611,"domain_scores_codex":[0.9991568,0.0001042096,0.0001090021,0.0002397908,0.0002857219,0.0001043958],"domain_scores_gemma":[0.9974962,0.0003049105,0.0002521628,0.0002771908,0.001494697,0.0001747567],"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":[0.000006233353,0.0000054976,0.0006079057,0.00009564027,0.000005967458,0.00000540987,0.00001082932,0.0000386589,0.000007283269,0.0002032017,0.9975898,0.001423535],"study_design_scores_gemma":[0.00005868711,0.000006307208,0.01411192,0.0002956064,0.00001754003,0.00002517387,0.0001752312,0.0001925447,0.00006819846,0.0004272246,0.9846059,0.00001567509],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001171951,0.00004881626,0.00004145073,0.00004612927,0.00001438346,0.000009289367,0.9983186,0.00004578186,0.001358439],"genre_scores_gemma":[0.0005367154,0.0001420371,0.0001594233,0.00003858773,0.00001163171,0.0001119583,0.9956765,0.00003983284,0.003283386],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9087034,"threshold_uncertainty_score":0.3054175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01460947823597658,"score_gpt":0.1752654585898029,"score_spread":0.1606559803538263,"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."}}