{"id":"W6908246989","doi":"10.25549/wpacards-m46431","title":"WPA block face card for household census of Innes, Victor, Figueroa, Adobe, College, Whiteknoll, Marview, Everett, Sunset 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); Sunset; 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":[0.0005737438,0.002110912,0.00145328,0.003834834,0.0007167827,0.001702785,0.002126992,0.001186065,0.1576701],"category_scores_gemma":[0.003489295,0.0007225571,0.0008730286,0.005896846,0.000246246,0.001376839,0.001535756,0.001413298,0.2290982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001209341,"about_ca_system_score_gemma":0.002335472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05847453,"about_ca_topic_score_gemma":0.1076875,"domain_scores_codex":[0.9993421,0.00007297702,0.00007031597,0.0001959775,0.0001841429,0.0001343694],"domain_scores_gemma":[0.9981345,0.0002343973,0.0001650332,0.0004634071,0.0007678296,0.0002347819],"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":[0.0000215175,0.00001220398,0.000392646,0.00008671098,0.000005610617,0.000005212666,0.000007179491,0.00006766415,0.00003179938,0.00008456883,0.9974095,0.001875373],"study_design_scores_gemma":[0.0001556734,0.00001682418,0.01241069,0.000193597,0.00002006574,0.00005281076,0.0001233706,0.0007243342,0.0004002593,0.0006920358,0.9851702,0.00004008247],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001037222,0.00001404325,0.00005489929,0.00001890737,0.00001027784,0.00001139272,0.9988675,0.0002078543,0.0007114242],"genre_scores_gemma":[0.0002377712,0.00002096489,0.0001483255,0.00001616103,0.000004326258,0.00006369781,0.9980342,0.00003604515,0.001438588],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1576701,"threshold_uncertainty_score":0.5274589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01433810508359322,"score_gpt":0.1820961472412096,"score_spread":0.1677580421576164,"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."}}