{"id":"W6945919993","doi":"10.25549/wpacards-m67710","title":"WPA household census for 1628 W 45TH ST, Los Angeles County","year":2012,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Population; Quarter (Canadian coin); Data collection; Statistical analysis","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":[0.0004420025,0.001617,0.001464317,0.004880614,0.0005617041,0.001740517,0.001563509,0.0007894871,0.0601243],"category_scores_gemma":[0.003230686,0.0008067026,0.0006665346,0.01288441,0.0002203249,0.001004157,0.0009746635,0.001190176,0.05799976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001448085,"about_ca_system_score_gemma":0.003443565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1569874,"about_ca_topic_score_gemma":0.2083579,"domain_scores_codex":[0.9994876,0.00004678748,0.00006813651,0.0001662016,0.0001490046,0.0000821554],"domain_scores_gemma":[0.9984595,0.0002293999,0.0002520212,0.0002143212,0.000648567,0.0001962704],"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":[0.00002530908,0.00001285347,0.002047556,0.000190299,0.00002031434,0.00001605254,0.00002185098,0.0002235222,0.00002427224,0.0002029609,0.9950196,0.002195491],"study_design_scores_gemma":[0.0001820795,0.0000111951,0.03777129,0.0003353938,0.00004718333,0.0000550222,0.0002294188,0.0007946386,0.0002071701,0.0007972331,0.9595284,0.00004101072],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001629128,0.00002306515,0.00002896574,0.0000217796,0.000005946137,0.000004287778,0.999194,0.00007221977,0.0004868031],"genre_scores_gemma":[0.0006262774,0.00007965938,0.0001280466,0.00001900098,0.000005783034,0.00006220194,0.9974086,0.00003699076,0.001633523],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1569874,"threshold_uncertainty_score":0.3121472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01307955024211374,"score_gpt":0.1716953030494576,"score_spread":0.1586157528073439,"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."}}