{"id":"W6964173146","doi":"10.25549/wpacards-m36862","title":"WPA block face card for household census of 28th, 33rd, Boaz, Naomi Streets, in Los Angeles County","year":2012,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Ecology and biodiversity studies","field":"Environmental Science","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":[0.0006062181,0.001495445,0.001324749,0.004236521,0.0006975925,0.001598377,0.001946647,0.0009133157,0.1076772],"category_scores_gemma":[0.004193119,0.0009058046,0.0006612234,0.009648308,0.0002141932,0.001008892,0.001062419,0.001310287,0.0999181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001877337,"about_ca_system_score_gemma":0.003746787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1557952,"about_ca_topic_score_gemma":0.2173276,"domain_scores_codex":[0.9993271,0.00005988586,0.0001005985,0.000195868,0.0001883811,0.0001283183],"domain_scores_gemma":[0.9973316,0.0002667847,0.000426326,0.0003803,0.001305624,0.0002893088],"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":[0.0000404141,0.00001740911,0.001951745,0.000140937,0.00001225579,0.00001082046,0.00001745261,0.0001097293,0.00003006295,0.0001314085,0.9957568,0.001780933],"study_design_scores_gemma":[0.0003242834,0.00002355881,0.06156766,0.0003537302,0.00004116107,0.00005708188,0.0002989565,0.0006390658,0.000375672,0.0005812948,0.9356909,0.00004660416],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001540058,0.000008601526,0.00003162745,0.00001282988,0.000005917778,0.00001289042,0.9991664,0.00005425812,0.0005534848],"genre_scores_gemma":[0.000565648,0.00002557054,0.0001408826,0.00001951661,0.000004276027,0.0001483461,0.9971237,0.00002899122,0.001943104],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1557952,"threshold_uncertainty_score":0.360216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01182376239929633,"score_gpt":0.1610264817423502,"score_spread":0.1492027193430538,"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."}}