{"id":"W6926841480","doi":"10.25549/wpacards-m84344","title":"WPA block face card for household census of Moore, Washington, Beethoven 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":[0.0003640928,0.001626103,0.001178892,0.003597578,0.0005519868,0.001446654,0.00153487,0.0009454543,0.07662643],"category_scores_gemma":[0.002882987,0.0005978388,0.0006883945,0.007047413,0.0002047301,0.0007858407,0.0009227942,0.001105941,0.09365537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001141548,"about_ca_system_score_gemma":0.002290211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09264007,"about_ca_topic_score_gemma":0.1491506,"domain_scores_codex":[0.9995697,0.0000368511,0.00005446166,0.0001485061,0.000114174,0.00007631197],"domain_scores_gemma":[0.9987164,0.0001682282,0.000198862,0.0002089873,0.0005340705,0.000173539],"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":[0.00003642149,0.00001618882,0.001853443,0.0001359886,0.00001373381,0.00001400952,0.00001190162,0.0001685488,0.00003937996,0.0001143047,0.9952625,0.002333565],"study_design_scores_gemma":[0.0002420741,0.0000226237,0.03769442,0.0002745396,0.00004022593,0.00008896436,0.0002158386,0.001056182,0.0004249226,0.0006356866,0.9592593,0.00004520826],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001980805,0.00001648911,0.00003111064,0.00001762258,0.000008680639,0.00000673749,0.999136,0.00008466264,0.0005006485],"genre_scores_gemma":[0.0005324903,0.00003455565,0.0001196944,0.00001856321,0.00000556217,0.00005407252,0.9978065,0.00002044087,0.001408144],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09264007,"threshold_uncertainty_score":0.2563409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342780050538451,"score_gpt":0.1845045675004394,"score_spread":0.1710767669950549,"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."}}