{"id":"W7131264615","doi":"10.25549/wpacards-c8-156799","title":"WPA household census for 3509 ATLANTIC, Los Angeles","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; Administration (probate law); 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":[0.0006542809,0.001205286,0.001069764,0.003859514,0.0006657382,0.002040368,0.001481819,0.0004368178,0.09681724],"category_scores_gemma":[0.004288495,0.000573944,0.0005912131,0.01031555,0.0001969556,0.001338667,0.001038736,0.00147566,0.09994484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002087597,"about_ca_system_score_gemma":0.004158075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.170137,"about_ca_topic_score_gemma":0.1808862,"domain_scores_codex":[0.9990942,0.0001204941,0.0001283528,0.0002446675,0.0003012842,0.0001108589],"domain_scores_gemma":[0.9978365,0.0002299781,0.0002269566,0.0002240238,0.001348408,0.0001341458],"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":[0.000007582559,0.000005488444,0.0007977472,0.0001429186,0.000007736405,0.000007727806,0.00001820513,0.00004394029,0.000007627847,0.0003149243,0.996542,0.002104158],"study_design_scores_gemma":[0.00004053126,0.000005523461,0.0141979,0.0003061423,0.00001640096,0.00002866109,0.0001983234,0.0001543649,0.00004833851,0.0004453906,0.9845421,0.00001619877],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001749764,0.0001033053,0.00006533318,0.00005788348,0.00002172005,0.00001452266,0.9970657,0.00006835219,0.002428245],"genre_scores_gemma":[0.0007549577,0.0002861943,0.0002026868,0.00004863807,0.00001728424,0.0001567233,0.9932657,0.00006004717,0.005207681],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.170137,"threshold_uncertainty_score":0.3382934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01457406538657314,"score_gpt":0.1745501089904854,"score_spread":0.1599760436039123,"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."}}