{"id":"W7131267841","doi":"10.25549/wpacards-c8-160119","title":"WPA household census for 12732 WALDORF ST, 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":[0.0006591722,0.00115592,0.00102668,0.003284232,0.0005403517,0.001793784,0.001283259,0.0004971694,0.1011622],"category_scores_gemma":[0.004111856,0.000544206,0.0004992518,0.009068431,0.0001715504,0.001180959,0.0009039432,0.001331541,0.1006219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001810415,"about_ca_system_score_gemma":0.003689033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.122309,"about_ca_topic_score_gemma":0.1344405,"domain_scores_codex":[0.9991913,0.0001109564,0.0001105101,0.0002209685,0.0002650247,0.0001011507],"domain_scores_gemma":[0.9978001,0.0002595922,0.0002230295,0.0002218577,0.00135253,0.0001429132],"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":[0.000007096201,0.000005011931,0.0006661806,0.000113605,0.000006674356,0.000006410321,0.00001173523,0.00004580156,0.000007503178,0.0002735002,0.9970978,0.001758532],"study_design_scores_gemma":[0.0000488629,0.000005855007,0.01197864,0.00028712,0.00001588702,0.00002449938,0.0001528327,0.0001741175,0.00005178958,0.000467438,0.9867795,0.00001350553],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001233808,0.00006211273,0.00005066434,0.00005250442,0.00001666093,0.00001008897,0.9979053,0.00004870892,0.001730621],"genre_scores_gemma":[0.0006091337,0.0001714364,0.0001652805,0.00004346178,0.00001348815,0.0001175023,0.9949927,0.00004415227,0.003842852],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.122309,"threshold_uncertainty_score":0.3384213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01467675406711218,"score_gpt":0.1752141225916314,"score_spread":0.1605373685245192,"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."}}