{"id":"W7131208580","doi":"10.25549/wpacards-ouc11579203","title":"WPA household census for 149 S TOWNSEND STREET, 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); Townsend; Data collection; Administration (probate law)","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":[0.0006644622,0.001206048,0.001100386,0.003213483,0.0005829844,0.001941039,0.001424798,0.0005145508,0.07665994],"category_scores_gemma":[0.004103581,0.0006021357,0.0005216082,0.009497912,0.0001857485,0.001245139,0.0009528578,0.001477043,0.08344577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001803179,"about_ca_system_score_gemma":0.003692758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1314007,"about_ca_topic_score_gemma":0.1448523,"domain_scores_codex":[0.9992108,0.0001013485,0.0001160747,0.0002162972,0.0002574292,0.00009809875],"domain_scores_gemma":[0.9976161,0.0002758196,0.0002344188,0.000249343,0.001453578,0.0001707521],"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":[0.000006948505,0.000005748877,0.0007000212,0.0001130498,0.000007070768,0.000006826844,0.00001161242,0.00004694329,0.000007882643,0.0002377513,0.997371,0.001485067],"study_design_scores_gemma":[0.00006390362,0.000007346915,0.01681007,0.0003094059,0.00001900121,0.00002954193,0.0001753639,0.0002086298,0.00006402404,0.0005103806,0.9817849,0.00001751403],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001158826,0.00005001589,0.00004053583,0.00004521077,0.00001520382,0.000009496813,0.9983867,0.00004479092,0.001292077],"genre_scores_gemma":[0.000552577,0.0001494036,0.0001553154,0.00003914856,0.00001204587,0.0001059598,0.9963652,0.00003894223,0.002581431],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1314007,"threshold_uncertainty_score":0.2612718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01546485368234045,"score_gpt":0.1779322200688187,"score_spread":0.1624673663864782,"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."}}