{"id":"W6964700658","doi":"10.25549/wpacards-m24664","title":"WPA block face card for household census of Brooklyn, Mathews, Michigan, Soto Streets, in Los Angeles","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":[0.0005031279,0.001594042,0.00126755,0.004389003,0.0006969632,0.001664531,0.001872427,0.0009301101,0.1120757],"category_scores_gemma":[0.003675244,0.0007256928,0.0006346349,0.008375513,0.0002021524,0.001075727,0.001198509,0.001219106,0.1176727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001451888,"about_ca_system_score_gemma":0.0030365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1367579,"about_ca_topic_score_gemma":0.2099554,"domain_scores_codex":[0.9994198,0.00005209335,0.00006929323,0.0001699088,0.0001676879,0.000121231],"domain_scores_gemma":[0.9977745,0.0002306062,0.0002910261,0.0003338862,0.001137658,0.000232153],"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":[0.00002381471,0.00001120907,0.001138011,0.0001006926,0.000008129643,0.000007069323,0.00001323302,0.00007734066,0.0000277632,0.0001301861,0.9968837,0.001578924],"study_design_scores_gemma":[0.0001595052,0.0000157654,0.03707003,0.0002311381,0.00002640132,0.00004650554,0.0002113148,0.0006085975,0.0003608703,0.0004938026,0.9607351,0.00004092444],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001346801,0.0000116048,0.00003769904,0.00001451883,0.000006822974,0.000009432924,0.9991192,0.00008178793,0.0005842487],"genre_scores_gemma":[0.0004281288,0.00002435429,0.000122518,0.00001548905,0.000005129665,0.00008348727,0.9973555,0.0000266882,0.001938781],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1367579,"threshold_uncertainty_score":0.3749305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01473969580953328,"score_gpt":0.1787114327551809,"score_spread":0.1639717369456476,"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."}}