{"id":"W6889369964","doi":"10.25549/wpacards-m86969","title":"WPA block face card for household census of 109th, Avalon, 110th, San Pedro Streets, in Los Angeles County","year":2012,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Block (permutation group theory); Face (sociological concept); Quarter (Canadian coin)","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":[0.0005691566,0.00166685,0.001328058,0.0047845,0.0006894052,0.001885337,0.0019234,0.001105185,0.1194672],"category_scores_gemma":[0.004504669,0.0008778776,0.0007449903,0.01057569,0.0002306087,0.001165331,0.001237821,0.001350238,0.1324436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001620198,"about_ca_system_score_gemma":0.00354429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1338381,"about_ca_topic_score_gemma":0.18673,"domain_scores_codex":[0.9992729,0.00006618333,0.00009551828,0.0002024887,0.0002189279,0.00014394],"domain_scores_gemma":[0.9972568,0.0003171068,0.0003897793,0.0003999254,0.001357596,0.0002787199],"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":[0.00002764606,0.00001248699,0.001183205,0.0001296477,0.000009793675,0.000008327654,0.00001471565,0.00009308415,0.00002499603,0.0001238203,0.9968804,0.001491804],"study_design_scores_gemma":[0.0002014003,0.00001705159,0.03480073,0.0003107103,0.00003263417,0.00004661305,0.0002443209,0.000537,0.0003287209,0.0005482205,0.962891,0.00004163359],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001031293,0.000009524996,0.00002506601,0.000013783,0.000005746563,0.000007171882,0.9992805,0.00005856398,0.0004966737],"genre_scores_gemma":[0.0003653036,0.00002364655,0.00009626391,0.00001627722,0.000004328797,0.00007342436,0.9977195,0.00002500975,0.00167638],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1338381,"threshold_uncertainty_score":0.3996574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01495216185422263,"score_gpt":0.1827185440777786,"score_spread":0.1677663822235559,"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."}}