{"id":"W6945803993","doi":"10.25549/wpacards-m83167","title":"WPA block face card for household census of Beswick, Spence, Garnet, Lorena Streets, in Los Angeles","year":2012,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Fish biology, ecology, and behavior","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); Postal service","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":[0.000496829,0.001601216,0.001301312,0.003581827,0.0005684925,0.001396643,0.001777202,0.0008155408,0.1147626],"category_scores_gemma":[0.003314098,0.0007253402,0.0006457948,0.007076914,0.0001876578,0.0008830589,0.001062823,0.001131931,0.1060564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001362617,"about_ca_system_score_gemma":0.00267802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1112256,"about_ca_topic_score_gemma":0.1746684,"domain_scores_codex":[0.9994959,0.00004651217,0.00006733232,0.0001809499,0.0001222378,0.00008711822],"domain_scores_gemma":[0.9982783,0.000204159,0.0002454856,0.000309106,0.0007615732,0.0002013115],"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":[0.00003470905,0.00001393589,0.001694554,0.0001291157,0.00001331599,0.00001042342,0.00001253994,0.0001224675,0.00003191771,0.0001245744,0.9955741,0.002238238],"study_design_scores_gemma":[0.0002719409,0.00001941587,0.04683969,0.0002818573,0.0000382684,0.00006232806,0.0001745446,0.0008461871,0.0003991894,0.0007470581,0.9502754,0.00004411299],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001645097,0.00001256463,0.00004931495,0.0000133266,0.000006237303,0.000009790651,0.9990143,0.00009507256,0.0006348675],"genre_scores_gemma":[0.0005041318,0.00002400245,0.0001509157,0.00001351963,0.000003952712,0.0000898001,0.9976568,0.00002902784,0.001527763],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1147626,"threshold_uncertainty_score":0.3839192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01458769480589283,"score_gpt":0.1799322997580705,"score_spread":0.1653446049521777,"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."}}