{"id":"W7131314388","doi":"10.25549/wpacards-c8-128251","title":"WPA household census for no # VENICE 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; 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":[0.0006270115,0.001403343,0.001273888,0.003383381,0.0006558913,0.002422105,0.001554616,0.0006002531,0.09680168],"category_scores_gemma":[0.004214827,0.0006767765,0.0005762433,0.009579823,0.0002206011,0.001388859,0.001018871,0.001583682,0.1163154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002011345,"about_ca_system_score_gemma":0.003879349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.136539,"about_ca_topic_score_gemma":0.151722,"domain_scores_codex":[0.9991246,0.00009523824,0.0001107295,0.0002805338,0.0002810343,0.0001078006],"domain_scores_gemma":[0.997493,0.0002825525,0.0002656199,0.0002908241,0.001473318,0.0001946987],"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":[0.00000614717,0.000004998433,0.000577566,0.00008338647,0.000005335194,0.000004349321,0.000007751188,0.00003709885,0.000006114591,0.0001832396,0.9979504,0.001133701],"study_design_scores_gemma":[0.00006071831,0.000005828315,0.01165105,0.0002466008,0.00001578837,0.00002408537,0.0001241019,0.0001884164,0.0000630284,0.0004289447,0.9871754,0.00001595437],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008748761,0.00004477464,0.00003427672,0.00004108591,0.000014496,0.00000702948,0.9983723,0.00005798603,0.001340583],"genre_scores_gemma":[0.0004009167,0.0001104008,0.0001269589,0.0000328125,0.00001202247,0.00007753653,0.9965655,0.000043176,0.002630637],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.136539,"threshold_uncertainty_score":0.3238339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0129523436106682,"score_gpt":0.1722312280614689,"score_spread":0.1592788844508007,"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."}}