{"id":"W7131247323","doi":"10.25549/wpacards-c8-151539","title":"WPA household census for 6926 CHANSLOR 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":[0.0006650768,0.001226844,0.001035058,0.003092357,0.0005762129,0.001848262,0.001331238,0.0005151574,0.07602303],"category_scores_gemma":[0.004043418,0.0005644347,0.0005296236,0.008490545,0.0001826675,0.001206664,0.0009073629,0.001405147,0.08970041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001811526,"about_ca_system_score_gemma":0.003519496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1319026,"about_ca_topic_score_gemma":0.1482033,"domain_scores_codex":[0.9992231,0.0001023588,0.0001013581,0.0002290809,0.0002522939,0.00009179446],"domain_scores_gemma":[0.9977435,0.0002615655,0.0002270081,0.0002421081,0.001372843,0.0001530169],"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":[0.00000702331,0.000005501819,0.0007551408,0.00009692118,0.000006944082,0.000006321103,0.00001051119,0.00004590557,0.000007183874,0.0002075489,0.9973314,0.001519575],"study_design_scores_gemma":[0.00006407043,0.000006758315,0.01496332,0.0002941562,0.00001892155,0.00002828634,0.0001646745,0.0002222605,0.00006547214,0.0004658082,0.98369,0.00001629016],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001278809,0.00005229585,0.00004314875,0.00004812283,0.00001411262,0.000007936032,0.9984664,0.00004614965,0.001194006],"genre_scores_gemma":[0.0005592823,0.0001318985,0.0001404411,0.00003653518,0.00001095271,0.00009218456,0.9963491,0.00003459398,0.002645092],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1319026,"threshold_uncertainty_score":0.2622697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01555747567117269,"score_gpt":0.1752978426768223,"score_spread":0.1597403670056496,"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."}}