{"id":"W7131265102","doi":"10.25549/wpacards-c8-160404","title":"WPA household census for 1841 PIXLEY ST, 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; Administration (probate law); American Community Survey; 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":[0.0006298153,0.001196366,0.001027356,0.003433116,0.0005913416,0.001809998,0.001380012,0.0004817332,0.08356877],"category_scores_gemma":[0.004289324,0.0006130149,0.000494781,0.01010918,0.0001822163,0.001274893,0.000940705,0.001401479,0.08867513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00187186,"about_ca_system_score_gemma":0.003453235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1303748,"about_ca_topic_score_gemma":0.1436399,"domain_scores_codex":[0.999221,0.0001013424,0.0001047654,0.0002153302,0.0002585163,0.00009898499],"domain_scores_gemma":[0.9977423,0.0002579789,0.0002272444,0.0002304783,0.001393825,0.0001481434],"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":[0.000007269925,0.000005131506,0.0007924529,0.0001100783,0.000007829502,0.000006792866,0.00001297357,0.00004559473,0.000006798492,0.0002386616,0.9970401,0.001726409],"study_design_scores_gemma":[0.00004776326,0.000006464061,0.01673082,0.0002801028,0.00001830027,0.00002839365,0.000166881,0.0001582117,0.00005497753,0.0004538611,0.9820399,0.00001435743],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001455642,0.00007008821,0.00004932972,0.0000499303,0.00001774797,0.000009100781,0.9980773,0.00004728982,0.001533532],"genre_scores_gemma":[0.0006777457,0.0001841741,0.0001566151,0.0000410539,0.00001480465,0.0001126633,0.995229,0.00004258597,0.00354142],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1303748,"threshold_uncertainty_score":0.2795655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01479004107033534,"score_gpt":0.1755938470572727,"score_spread":0.1608038059869374,"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."}}