{"id":"W7131221926","doi":"10.25549/wpacards-c8-121479","title":"WPA household census for 1610 MALTMAN AVENUE, 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; 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":[0.0006894821,0.001208086,0.0011382,0.003373922,0.000567488,0.001989029,0.001441804,0.0005037337,0.08311024],"category_scores_gemma":[0.004406698,0.0006403573,0.0005368597,0.009368946,0.0001873369,0.001414077,0.00101502,0.001520697,0.08935266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00209811,"about_ca_system_score_gemma":0.003813452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1450467,"about_ca_topic_score_gemma":0.1519993,"domain_scores_codex":[0.9991658,0.0001032607,0.0001195151,0.0002222079,0.0002857871,0.0001035786],"domain_scores_gemma":[0.9975249,0.0002650552,0.0002689192,0.0002459216,0.001535633,0.0001595851],"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":[0.00000720387,0.000005602317,0.0007417184,0.0001301666,0.000007226578,0.000006818926,0.00001275205,0.00004219587,0.000006974584,0.0002719512,0.996965,0.0018024],"study_design_scores_gemma":[0.00005367786,0.000006594375,0.01487893,0.0003184966,0.00001736166,0.00002730807,0.0001617094,0.0001784739,0.00005744708,0.0004538262,0.9838303,0.00001584749],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001338152,0.00007373244,0.00005342069,0.0000580338,0.00001679388,0.00001155006,0.9979863,0.00005316921,0.001613128],"genre_scores_gemma":[0.0006348548,0.0002241124,0.0001848837,0.00004480057,0.0000145362,0.0001285782,0.9949675,0.00004448823,0.003756268],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1450467,"threshold_uncertainty_score":0.2884049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01465713724342687,"score_gpt":0.1763529608481028,"score_spread":0.1616958236046759,"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."}}