{"id":"W7131303529","doi":"10.25549/wpacards-c8-151203","title":"WPA household census for 7806 TELEGRAPH RD, 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; Population","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":[0.0006410277,0.001282594,0.001058964,0.003425662,0.0005769105,0.0018998,0.001394205,0.0005402701,0.1010695],"category_scores_gemma":[0.00412155,0.0006044636,0.0005325376,0.009825407,0.0001815382,0.001333331,0.000906815,0.001456659,0.1089113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001837331,"about_ca_system_score_gemma":0.003565815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1175528,"about_ca_topic_score_gemma":0.1220492,"domain_scores_codex":[0.999155,0.0001067967,0.0001144246,0.000247258,0.0002728302,0.00010357],"domain_scores_gemma":[0.9976666,0.0002682993,0.0002406543,0.0002495569,0.001423615,0.0001513697],"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":[0.000006356106,0.000005082019,0.0005661527,0.00009897307,0.000005961546,0.000005519827,0.000009281531,0.00004148585,0.000006874031,0.0002231584,0.9975581,0.001473022],"study_design_scores_gemma":[0.000054898,0.000006522884,0.01227443,0.0002665952,0.00001711395,0.00002433569,0.0001445333,0.0001850418,0.00005659286,0.0004475041,0.9865079,0.0000144579],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001045641,0.00004676633,0.00004109961,0.00004567901,0.00001514561,0.000008981248,0.9982309,0.00004575702,0.00146116],"genre_scores_gemma":[0.0005187609,0.0001398973,0.0001520362,0.0000400156,0.00001315432,0.000110248,0.9957305,0.00003912105,0.003256237],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1175528,"threshold_uncertainty_score":0.3381112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01285272734510009,"score_gpt":0.1710981332093147,"score_spread":0.1582454058642146,"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."}}