{"id":"W7131310755","doi":"10.25549/wpacards-c8-134452","title":"WPA bock face card for household census (block 2208) in 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); Face (sociological concept)","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":[0.0006865482,0.00119716,0.001091171,0.003606396,0.0006507117,0.002049291,0.001606587,0.0007728073,0.08419075],"category_scores_gemma":[0.004407221,0.0006439108,0.0005074564,0.009555396,0.0002248282,0.001178766,0.001266849,0.00137359,0.1126437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001797361,"about_ca_system_score_gemma":0.00310243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1233901,"about_ca_topic_score_gemma":0.1478658,"domain_scores_codex":[0.9991406,0.0001013933,0.0001104985,0.0002612011,0.0002544074,0.0001317804],"domain_scores_gemma":[0.9974248,0.000306997,0.0003027671,0.0003567887,0.001372085,0.0002365234],"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":[0.0000103483,0.000006688858,0.0006286793,0.0001044228,0.000005422923,0.000006564954,0.00001087968,0.00005161698,0.00001482893,0.0001629728,0.9978569,0.001140724],"study_design_scores_gemma":[0.00008106508,0.000007976115,0.01403566,0.0002136691,0.00001215753,0.00002301121,0.0001397098,0.0002344913,0.0001197249,0.0003515907,0.9847616,0.00001934319],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001060216,0.00001785424,0.00002733472,0.00002591591,0.000008466642,0.000006618537,0.9990393,0.00006598278,0.0007025339],"genre_scores_gemma":[0.0002853542,0.00003007677,0.00009774314,0.00001864616,0.000004769573,0.00006170229,0.998327,0.00002767234,0.001147178],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1233901,"threshold_uncertainty_score":0.2816461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01425259200713435,"score_gpt":0.1767901778039635,"score_spread":0.1625375857968291,"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."}}