{"id":"W3000424295","doi":"10.3390/ani10010104","title":"A Multi-Site Feasibility Assessment of Implementing a Best-Practices Meet-And-Greet Intervention in Animal Shelters in the United States","year":2020,"lang":"en","type":"article","venue":"Animals","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Maddie's Fund","keywords":"Session (web analytics); Protocol (science); Intervention (counseling); Replicate; Early adopter; Baseline (sea); Best practice; Medicine; Medical education; Computer science; Business; Marketing; Political science; Nursing; Alternative medicine; Pathology","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":[0.02418054,0.000540389,0.0005636491,0.0006025534,0.001980455,0.0009234374,0.001887941,0.001215199,0.002098768],"category_scores_gemma":[0.02067205,0.0007469032,0.0008167988,0.0003205579,0.001446861,0.001303573,0.00134838,0.001192115,0.000328735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002194577,"about_ca_system_score_gemma":0.008221851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007188212,"about_ca_topic_score_gemma":0.034073,"domain_scores_codex":[0.9864371,0.009961725,0.0007582814,0.0006149042,0.001224497,0.001003516],"domain_scores_gemma":[0.9803201,0.007237973,0.003282183,0.002034627,0.004397398,0.002727653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01353042,0.1892311,0.4249388,0.002560371,0.0006519269,0.0008711367,0.03505523,0.004483257,0.02126805,0.001033132,0.003639637,0.302737],"study_design_scores_gemma":[0.004848177,0.2375035,0.6961683,0.0007585654,0.0003841485,0.0002392085,0.04058038,0.003785579,0.008034422,0.0004333466,0.007123315,0.0001410902],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925563,0.00003250423,0.001126716,0.0002181348,0.0000132424,0.00530554,0.00005706917,0.00002991809,0.0006606163],"genre_scores_gemma":[0.9608592,0.0001536003,0.02286615,0.0003181947,0.00001894152,0.01507867,0.00017039,0.00000906233,0.0005259061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02418054,"threshold_uncertainty_score":0.1278805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1296184704518903,"score_gpt":0.4699487007268574,"score_spread":0.3403302302749671,"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."}}