{"id":"W6964227556","doi":"10.25549/wpacards-m104286","title":"WPA household census for 5823 WILTON PLACE, 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; Population; Metropolitan area; Quarter (Canadian coin); Public health","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":[0.0005994841,0.001724047,0.001566788,0.008076965,0.0008455878,0.002276443,0.001753327,0.0009735628,0.08653868],"category_scores_gemma":[0.004804627,0.001236717,0.0008004165,0.02350238,0.0002133328,0.001462777,0.001239022,0.001472153,0.0880963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002523231,"about_ca_system_score_gemma":0.006072441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3013853,"about_ca_topic_score_gemma":0.3493218,"domain_scores_codex":[0.9990735,0.00008479421,0.0001398437,0.0002234688,0.0003177581,0.0001606073],"domain_scores_gemma":[0.9968016,0.0003579709,0.0004224919,0.0003434973,0.001810682,0.0002637325],"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":[0.00002323566,0.00001545282,0.00172067,0.0002059323,0.00001731693,0.00001250998,0.00003674412,0.0001349807,0.00001790926,0.0001972383,0.9953497,0.002268259],"study_design_scores_gemma":[0.0001375835,0.00001427117,0.0504135,0.0003667512,0.00004941116,0.0000445769,0.0004373094,0.0003872947,0.0002096406,0.0004165393,0.9474842,0.00003892622],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000210634,0.0000265679,0.00002855478,0.00002204731,0.000007683935,0.000007853599,0.9987609,0.00005399566,0.0008817438],"genre_scores_gemma":[0.0006790819,0.0001030784,0.000123851,0.00002083729,0.000007727349,0.00012413,0.9945462,0.0000394228,0.004355607],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3013853,"threshold_uncertainty_score":0.5992622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01443382288687382,"score_gpt":0.1751494380620921,"score_spread":0.1607156151752183,"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."}}