{"id":"W7131286614","doi":"10.25549/wpacards-c8-162228","title":"WPA household census for 4569 WHITTIER 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); Variety (cybernetics); Sample (material)","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":[0.0005996673,0.001239386,0.001065118,0.002961889,0.0005555667,0.001923668,0.001287705,0.0005112355,0.091331],"category_scores_gemma":[0.003907308,0.0005738868,0.0005360234,0.00852554,0.0001798576,0.001259817,0.0008885115,0.001403027,0.09741268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001807589,"about_ca_system_score_gemma":0.003401009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1280158,"about_ca_topic_score_gemma":0.1432147,"domain_scores_codex":[0.9992198,0.00009524205,0.0001062869,0.000238933,0.0002488758,0.00009096245],"domain_scores_gemma":[0.9979342,0.0002324842,0.0002115521,0.0002122352,0.001267969,0.0001414762],"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":[0.00000693474,0.000005227103,0.0007480967,0.0000988462,0.000006504225,0.000005980754,0.000009350607,0.00004376316,0.000006890932,0.0002045195,0.9972385,0.001625335],"study_design_scores_gemma":[0.00006308681,0.000006691905,0.01420176,0.0003016753,0.00001899537,0.00002815152,0.0001533841,0.0002100923,0.00006029081,0.0004801896,0.9844607,0.00001495016],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001303396,0.00006751089,0.00004665304,0.00005600549,0.00001797315,0.00000930043,0.9980643,0.00005114885,0.001556816],"genre_scores_gemma":[0.0006369518,0.0001864155,0.0001501239,0.00004554597,0.00001577883,0.000104049,0.9951858,0.00004065196,0.003634703],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1280158,"threshold_uncertainty_score":0.3055326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01356059442228556,"score_gpt":0.1725668414829203,"score_spread":0.1590062470606347,"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."}}