{"id":"W6945653376","doi":"10.25549/wpacards-m67831","title":"WPA household census for 1551 W 45TH ST, Los Angeles County","year":2012,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Population; Quarter (Canadian coin); Statistical analysis; Data collection","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":[0.0005202144,0.001559351,0.001478501,0.005625374,0.0006598278,0.001563748,0.001742738,0.0007385658,0.0571258],"category_scores_gemma":[0.003599975,0.001091063,0.0006923127,0.01618593,0.0001935962,0.001220432,0.0009473361,0.001284753,0.05024928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002236149,"about_ca_system_score_gemma":0.004952728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3211044,"about_ca_topic_score_gemma":0.3534154,"domain_scores_codex":[0.9993747,0.00005317152,0.0001016482,0.000177494,0.0001906304,0.0001024238],"domain_scores_gemma":[0.9978581,0.0002269708,0.0003514738,0.0002087488,0.001141203,0.0002133863],"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":[0.00002556402,0.00002072381,0.003150807,0.0002671951,0.00002676341,0.00001636667,0.00003398035,0.0002204491,0.00002300434,0.0001912429,0.9929848,0.003039221],"study_design_scores_gemma":[0.0002201406,0.00001962979,0.1009631,0.0004492287,0.00007604164,0.0000601556,0.0003507867,0.0007615726,0.0002510953,0.0005330275,0.8962666,0.00004871968],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002818454,0.00003466898,0.00003918934,0.00002141611,0.000009135099,0.00001184953,0.9987148,0.00006111287,0.000825958],"genre_scores_gemma":[0.001061901,0.0001425805,0.0001864363,0.00002838829,0.000009554875,0.000186166,0.9946029,0.00003669034,0.003745353],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3211044,"threshold_uncertainty_score":0.6384708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0192516271126766,"score_gpt":0.1778032183679598,"score_spread":0.1585515912552832,"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."}}