{"id":"W7131297070","doi":"10.25549/wpacards-ouc11587039","title":"WPA household census for 4541 1/2 WHITTIER 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; American Community Survey; Variety (cybernetics); Sample (material)","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":[0.000676059,0.001353719,0.001160424,0.003201837,0.0005676424,0.002134415,0.001381804,0.0005599986,0.1071307],"category_scores_gemma":[0.004297153,0.0006613891,0.000578477,0.009782444,0.0001905374,0.001350682,0.0009482824,0.001426474,0.1117889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00196754,"about_ca_system_score_gemma":0.003674441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1202533,"about_ca_topic_score_gemma":0.1266276,"domain_scores_codex":[0.9991108,0.0001068309,0.0001202826,0.0002554376,0.0002976604,0.000109066],"domain_scores_gemma":[0.9977291,0.0002746042,0.0002319552,0.0002444071,0.001362757,0.0001572127],"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":[0.000006502855,0.000005131452,0.0005766309,0.0001131346,0.00000594671,0.000005231474,0.00001014334,0.00004181977,0.000007649867,0.0002219381,0.9973605,0.00164538],"study_design_scores_gemma":[0.00005742214,0.000006359432,0.01275672,0.0003148342,0.00001688615,0.0000232928,0.00014911,0.000186855,0.00006360818,0.0004208639,0.9859895,0.00001453874],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001075053,0.00005497489,0.00004429126,0.00004665209,0.00001604132,0.000009921046,0.9980621,0.000053103,0.001605459],"genre_scores_gemma":[0.0005576137,0.0001755227,0.0001727713,0.00004165731,0.00001410428,0.0001216766,0.9950675,0.00004882854,0.003800421],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1202533,"threshold_uncertainty_score":0.3583878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01355504600010656,"score_gpt":0.172692875353014,"score_spread":0.1591378293529074,"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."}}