{"id":"W7131256176","doi":"10.25549/wpacards-c8-150402","title":"WPA household census for 1941 SICHEL ST, Los Angeles","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":[0.0006799109,0.001218147,0.001121904,0.003784192,0.0006208952,0.001812842,0.00154851,0.0004842154,0.07690164],"category_scores_gemma":[0.004527252,0.0006219068,0.000537239,0.0104906,0.0001989962,0.001317969,0.001030424,0.001395506,0.07733603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002255826,"about_ca_system_score_gemma":0.003924238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1858506,"about_ca_topic_score_gemma":0.1978339,"domain_scores_codex":[0.9991906,0.0001063279,0.0001072331,0.0002090062,0.0002757832,0.0001111294],"domain_scores_gemma":[0.9976242,0.000240066,0.000231244,0.0002381787,0.001520452,0.0001458692],"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":[0.000008320353,0.000005508487,0.0009110067,0.0001249428,0.000008287504,0.000007848263,0.00001529305,0.00005037214,0.000007050155,0.000279961,0.9967439,0.001837485],"study_design_scores_gemma":[0.00005622347,0.000007101395,0.02002293,0.0003154553,0.00001925017,0.00003008401,0.0002031385,0.0001853985,0.0000655593,0.0004635472,0.9786137,0.00001762039],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001517727,0.00006839476,0.00005186232,0.00004902677,0.00001696205,0.00001141362,0.9980931,0.00005059275,0.001506891],"genre_scores_gemma":[0.0007021869,0.0001915149,0.000164049,0.00003618145,0.00001390811,0.0001321056,0.9950353,0.00004056,0.0036843],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1858506,"threshold_uncertainty_score":0.3695377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01553884420640896,"score_gpt":0.1799034036878056,"score_spread":0.1643645594813966,"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."}}