{"id":"W7131300801","doi":"10.25549/wpacards-c8-135365","title":"WPA household census for 13406 MONA 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":[0.0006638969,0.001282493,0.001107465,0.003108321,0.0005847736,0.001963324,0.001368012,0.0005393992,0.07886413],"category_scores_gemma":[0.004131295,0.0005953148,0.0005564666,0.008781819,0.000193302,0.001243474,0.0009362797,0.001451888,0.0938766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001860472,"about_ca_system_score_gemma":0.003420405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1241212,"about_ca_topic_score_gemma":0.1421953,"domain_scores_codex":[0.9991834,0.0001050758,0.0001101723,0.0002487276,0.0002592262,0.00009346796],"domain_scores_gemma":[0.9977011,0.0002718244,0.0002392144,0.000252971,0.001379293,0.0001555888],"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":[0.000007134886,0.000005608852,0.0007308628,0.00009763842,0.000006838727,0.000005723514,0.000009021491,0.00004660212,0.000006963388,0.0001977617,0.997439,0.00144671],"study_design_scores_gemma":[0.00006866417,0.000006897003,0.01407949,0.0002874649,0.00001983462,0.00002813216,0.000147103,0.0002353005,0.00006522454,0.0004874085,0.984558,0.00001644718],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001174207,0.00005137896,0.00004141263,0.00004814332,0.00001471538,0.000007628415,0.9985267,0.00004895998,0.001143684],"genre_scores_gemma":[0.0005143235,0.0001326942,0.0001389063,0.00003654048,0.00001212162,0.00008872469,0.9965926,0.00003482958,0.002449305],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1241212,"threshold_uncertainty_score":0.2638268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01400847804110614,"score_gpt":0.1722217342867877,"score_spread":0.1582132562456816,"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."}}