{"id":"W7131264379","doi":"10.25549/wpacards-c8-134404","title":"WPA household census for 11652 SOUTH BLUE STREET, 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":[],"consensus_categories":[],"category_scores_codex":[0.0006546399,0.001214328,0.001041781,0.003192803,0.0005833174,0.001848383,0.001328431,0.0005253211,0.0878768],"category_scores_gemma":[0.003962515,0.0005799168,0.0005264249,0.009402374,0.0001769252,0.001206743,0.0009197264,0.001404068,0.09808017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001728902,"about_ca_system_score_gemma":0.00354162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1270538,"about_ca_topic_score_gemma":0.1434655,"domain_scores_codex":[0.9992188,0.0001040907,0.0001070126,0.0002161264,0.0002562609,0.00009781945],"domain_scores_gemma":[0.9977669,0.0002605683,0.0002354233,0.0002452266,0.001338295,0.0001535738],"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":[0.000006669135,0.000005268782,0.0006732895,0.0001066919,0.000006715221,0.000006153325,0.00001138082,0.00004543805,0.000007348387,0.0002182709,0.9974551,0.001457715],"study_design_scores_gemma":[0.0000570082,0.000006523751,0.01461009,0.0002862732,0.00001785748,0.00002616598,0.0001693257,0.0001923484,0.0000598441,0.0004565933,0.9841028,0.00001520125],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001208452,0.00004930908,0.00003861392,0.00004548865,0.00001438434,0.000008075297,0.9984059,0.00004178072,0.001275732],"genre_scores_gemma":[0.0005257828,0.0001338099,0.0001314798,0.00003648061,0.0000109704,0.000098132,0.9961409,0.00003603051,0.002886479],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1270538,"threshold_uncertainty_score":0.2939772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01458708662221663,"score_gpt":0.1739085957082203,"score_spread":0.1593215090860036,"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."}}