{"id":"W7131229950","doi":"10.25549/wpacards-c8-135521","title":"WPA household census for 13610 LARGO 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; 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":[0.0006842401,0.001219726,0.001049483,0.003178059,0.0005809471,0.001893667,0.00138361,0.0005408407,0.07860027],"category_scores_gemma":[0.004178929,0.000608288,0.000540533,0.008965303,0.0001863842,0.001258688,0.000960577,0.001478433,0.08991888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001827906,"about_ca_system_score_gemma":0.003483221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.125107,"about_ca_topic_score_gemma":0.1370406,"domain_scores_codex":[0.9991948,0.000104399,0.0001086135,0.000233693,0.0002561087,0.0001023819],"domain_scores_gemma":[0.9976299,0.0002830001,0.0002419617,0.0002555174,0.001430868,0.0001586603],"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":[0.000007279071,0.000005461696,0.0007131614,0.0001028507,0.000007011532,0.000006338404,0.00001079845,0.00004547299,0.000007708803,0.0002208378,0.9974266,0.001446459],"study_design_scores_gemma":[0.00006642152,0.000006890867,0.01509022,0.0002843608,0.0000190696,0.0000288368,0.0001715971,0.0002120294,0.00006913204,0.0004735231,0.9835612,0.00001662199],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001194424,0.00004855788,0.00004139843,0.00004600451,0.00001420494,0.00000800112,0.9985482,0.00004631632,0.00112776],"genre_scores_gemma":[0.0005323471,0.0001223444,0.0001408794,0.00003554843,0.00001070037,0.00009274552,0.9966012,0.00003484969,0.002429333],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.125107,"threshold_uncertainty_score":0.2629441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01360386955136308,"score_gpt":0.1746519629437451,"score_spread":0.161048093392382,"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."}}