{"id":"W7131238140","doi":"10.25549/wpacards-c8-137882","title":"WPA household census for 1632 SOUTH MAPLE 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; Administration (probate law); Value (mathematics); Variety (cybernetics)","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":[0.0005790146,0.001206576,0.001053596,0.003282995,0.0005446972,0.001804073,0.001431361,0.0004748541,0.0861515],"category_scores_gemma":[0.00365807,0.0005777684,0.0005181044,0.009421077,0.0001745086,0.001195736,0.0009137501,0.001385783,0.08745091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001977254,"about_ca_system_score_gemma":0.003514309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1692871,"about_ca_topic_score_gemma":0.1885714,"domain_scores_codex":[0.9993243,0.00008983112,0.00009288379,0.0001806239,0.0002222504,0.00009001558],"domain_scores_gemma":[0.9979942,0.0002142217,0.0002134386,0.0002110645,0.001231097,0.0001359947],"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":[0.000006876682,0.000005141377,0.0007015785,0.0001190748,0.000007127625,0.000007056273,0.00001248638,0.00004511281,0.000006478986,0.0002210893,0.9972198,0.001648192],"study_design_scores_gemma":[0.00005453871,0.000006537143,0.01658671,0.000311857,0.0000180316,0.00002734648,0.0001818016,0.0002043787,0.00005762161,0.0004472946,0.9820874,0.00001648214],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001388785,0.00006306273,0.0000477471,0.00005042421,0.00001474212,0.000009240216,0.9981026,0.00005495212,0.001518447],"genre_scores_gemma":[0.0006609455,0.0001827857,0.0001521749,0.00003796486,0.00001304795,0.000118238,0.9951403,0.00004383524,0.003650605],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1692871,"threshold_uncertainty_score":0.3366036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01653841612165411,"score_gpt":0.174416269981019,"score_spread":0.1578778538593649,"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."}}