{"id":"W6964320243","doi":"10.25549/wpacards-m84362","title":"WPA block face card for household census of 45th, 46th 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); Population","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":[0.0005164005,0.00162249,0.001243797,0.005073221,0.0006993088,0.001785855,0.001825705,0.001071143,0.09293769],"category_scores_gemma":[0.004090051,0.0007961069,0.0006970732,0.009858421,0.0002234185,0.001129224,0.001180357,0.001270465,0.1185714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001466802,"about_ca_system_score_gemma":0.003373663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1360729,"about_ca_topic_score_gemma":0.1996619,"domain_scores_codex":[0.9993193,0.00005933957,0.00008736288,0.0001832991,0.0002129455,0.0001377494],"domain_scores_gemma":[0.9975654,0.0002771916,0.0003197126,0.0003678122,0.001227651,0.0002423377],"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":[0.00002746206,0.00001478276,0.001353415,0.0001281465,0.00001023158,0.000009806534,0.00001623374,0.0001141302,0.00003284068,0.0001144208,0.9964041,0.001774471],"study_design_scores_gemma":[0.0001761441,0.00001864928,0.03973422,0.0002973556,0.00003377618,0.00005552523,0.000285344,0.0006940155,0.0004138058,0.0004755228,0.9577703,0.00004540463],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001503232,0.00001090475,0.00002589633,0.00001342925,0.000006051631,0.000007227674,0.9992105,0.00006920812,0.0005065314],"genre_scores_gemma":[0.0003833049,0.00002264054,0.00008965265,0.00001301878,0.000003819874,0.00006172034,0.9979621,0.00002087792,0.001442783],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1360729,"threshold_uncertainty_score":0.3109075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01532624147190582,"score_gpt":0.179403662170681,"score_spread":0.1640774206987752,"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."}}