{"id":"W6927008367","doi":"10.25549/wpacards-m84320","title":"WPA block face card for household census of Pacific, Matteson, Moore Streets, in Los Angeles County","year":2012,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Block (permutation group theory); Face (sociological concept); Quarter (Canadian coin)","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":[0.0003765923,0.001543067,0.001161244,0.003522918,0.0005510626,0.001462521,0.001635708,0.000919991,0.08038341],"category_scores_gemma":[0.003095034,0.0005926162,0.0006682994,0.007200565,0.0001992209,0.0008160162,0.0009111722,0.001097559,0.09326913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001210383,"about_ca_system_score_gemma":0.002407795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1012279,"about_ca_topic_score_gemma":0.1616272,"domain_scores_codex":[0.9995688,0.00003649524,0.00005426698,0.0001498307,0.0001169584,0.00007373252],"domain_scores_gemma":[0.9985853,0.0001834162,0.0002154208,0.000213247,0.0006192659,0.0001832513],"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":[0.00003456726,0.00001469124,0.001801565,0.0001283148,0.00001231737,0.00001202767,0.00001033342,0.0001482037,0.00003159981,0.0001109238,0.9955341,0.002161527],"study_design_scores_gemma":[0.0002572357,0.00002192406,0.03614904,0.0002775398,0.00003915169,0.0000809764,0.0001992636,0.001028721,0.0003837777,0.0006526471,0.9608661,0.00004361934],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001666637,0.00001517371,0.00002883484,0.00001727267,0.00000744071,0.000006642742,0.9991792,0.000080108,0.000498667],"genre_scores_gemma":[0.0005052378,0.00003429165,0.0001236313,0.00001932555,0.00000547329,0.00005578269,0.9977962,0.00002091891,0.001439158],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1012279,"threshold_uncertainty_score":0.2689093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0118212551931126,"score_gpt":0.1749967199707226,"score_spread":0.1631754647776099,"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."}}