{"id":"W2896294519","doi":"10.13016/m2000038v","title":"All Dogs Go to Prince George’s County: Finding a Home for a Second Animal Services Facility","year":2018,"lang":"en","type":"article","venue":"Digital Repository at the University of Maryland (University of Maryland College Park)","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"George (robot); Geography; History; Art history","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":[0.0007420029,0.0001966602,0.0001773186,0.0007061394,0.003357893,0.001305898,0.0004253294,0.0006523843,0.006278015],"category_scores_gemma":[0.001295453,0.0003564575,0.000216492,0.0006663717,0.0005227024,0.0008809558,0.0009085854,0.0007473639,0.0008614952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001138706,"about_ca_system_score_gemma":0.001551681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08322883,"about_ca_topic_score_gemma":0.3152849,"domain_scores_codex":[0.9997174,0.0001202562,0.000006031625,0.00004738267,0.00003783701,0.00007106391],"domain_scores_gemma":[0.9994879,0.0001038848,0.00006856883,0.00003153022,0.0001099402,0.0001981635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002321046,0.001143124,0.7428853,0.0002120813,0.00008842372,0.00822304,0.08484181,0.0002108515,0.007546742,0.003507784,0.04934701,0.1017617],"study_design_scores_gemma":[0.00001822257,0.0005383139,0.639172,0.0002485655,0.00009823079,0.003170561,0.3030442,0.0008649179,0.002208175,0.001021052,0.04955245,0.0000632629],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879647,0.0002697078,0.0009861384,0.002172778,0.00002191702,0.00007385053,0.0002131447,0.00003133205,0.008266306],"genre_scores_gemma":[0.9702814,0.000852951,0.01074545,0.0007780077,0.00001118654,0.00008816129,0.0006032021,0.00002781814,0.01661181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08322883,"threshold_uncertainty_score":0.1654888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009129911605597875,"score_gpt":0.2251819587878184,"score_spread":0.2160520471822205,"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."}}