{"id":"W4415640638","doi":"10.2139/ssrn.5606350","title":"Saving Lives in Animal Shelters: Strategic Time Allocation Under Capacity Constraints","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Counterfactual thinking; Resource allocation; Queueing theory; Time allocation; Equity (law); Resource (disambiguation); Scheduling (production processes)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001503049,0.0005305333,0.0007444255,0.0004314081,0.0004411923,0.002376031,0.001167946,0.001132478,0.01591063],"category_scores_gemma":[0.007544973,0.0003917989,0.0003926337,0.001038461,0.001109639,0.002278266,0.001278693,0.0009745084,0.0004549668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001355152,"about_ca_system_score_gemma":0.001192328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004102705,"about_ca_topic_score_gemma":0.004288912,"domain_scores_codex":[0.9992205,0.0003732263,0.00001972978,0.0001257606,0.00005130425,0.0002094532],"domain_scores_gemma":[0.9945573,0.003533919,0.000606047,0.0003799465,0.0002058352,0.0007170207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001559152,0.0003206075,0.01274338,0.0004540231,0.0003219091,0.0006642755,0.001076981,0.5418776,0.01090307,0.3715232,0.005253126,0.05330272],"study_design_scores_gemma":[0.0001205391,0.0003959546,0.01561757,0.00006050542,0.0001215994,0.0002308574,0.002654495,0.4073361,0.001465192,0.5688829,0.003052054,0.00006219371],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8698035,0.000574835,0.09725046,0.001994766,0.00006093106,0.00006904414,0.0005706364,0.00007148492,0.02960422],"genre_scores_gemma":[0.993379,0.000156757,0.004605518,0.00004866023,0.00001064471,0.0000393611,0.00005530061,0.00002056228,0.001684209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01591063,"threshold_uncertainty_score":0.05322635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02582180424322746,"score_gpt":0.3217711229963316,"score_spread":0.2959493187531042,"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."}}