{"id":"W7131222901","doi":"10.25549/wpacards-ouc11549121","title":"WPA household census for 6510 SPECHT AVE, 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; American Community Survey; Administration (probate law); Value (mathematics)","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":[0.0006676615,0.00123706,0.00108477,0.003102754,0.0005728097,0.001889219,0.001384589,0.0005417272,0.08630975],"category_scores_gemma":[0.004211974,0.0006069914,0.0005551589,0.008947485,0.0001848048,0.001274406,0.000946856,0.001472972,0.09782567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001817977,"about_ca_system_score_gemma":0.003559069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1215581,"about_ca_topic_score_gemma":0.1283365,"domain_scores_codex":[0.9991884,0.0001028635,0.0001136626,0.0002351957,0.0002587728,0.0001011316],"domain_scores_gemma":[0.9976298,0.0002684701,0.0002355508,0.0002439374,0.001466858,0.0001554109],"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":[0.000006936133,0.000005430471,0.0006797081,0.0001072447,0.000006823937,0.000006151442,0.00001017493,0.00004236653,0.000007169166,0.0002164809,0.9974408,0.001470672],"study_design_scores_gemma":[0.00006741938,0.000007151848,0.01480938,0.0003131774,0.00002013284,0.00002943785,0.0001620393,0.0001994886,0.0000643062,0.0004870411,0.9838235,0.00001675705],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001111542,0.00005267274,0.0000415796,0.0000479369,0.00001509697,0.00000881193,0.9984252,0.00004643825,0.001251012],"genre_scores_gemma":[0.0005466752,0.0001453422,0.0001447908,0.00004058405,0.00001208647,0.0001017231,0.9962056,0.00003816208,0.002765058],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1215581,"threshold_uncertainty_score":0.2887349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01435958568261857,"score_gpt":0.1738138580017916,"score_spread":0.159454272319173,"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."}}