{"id":"W2936347251","doi":"10.3819/ccbr.2019.140009","title":"Factors that may affect the success of scent detection dogs: Exploring non-conventional models of preparation and deployment","year":2019,"lang":"en","type":"article","venue":"Comparative Cognition & Behavior Reviews","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Affect (linguistics); Margin (machine learning); Psychology; White (mutation); Space (punctuation); Cognitive psychology; Computer science; Communication; Biology; Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001321277,0.0002524391,0.0002255262,0.0002859094,0.0003730767,0.002117983,0.0005703152,0.0006022269,0.01255715],"category_scores_gemma":[0.006094893,0.0001742615,0.0002304716,0.0001619811,0.0009136256,0.000967892,0.0006310356,0.0005456661,0.001114503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008603566,"about_ca_system_score_gemma":0.0006187449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002414909,"about_ca_topic_score_gemma":0.006310886,"domain_scores_codex":[0.9995989,0.0001566263,0.00001906276,0.00008551407,0.00006169801,0.00007812475],"domain_scores_gemma":[0.9969471,0.001189942,0.0009613204,0.000243523,0.0002224964,0.0004355901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.009552708,0.004164844,0.7218965,0.00106192,0.0004193578,0.0007734875,0.004984371,0.002995388,0.1124077,0.01441142,0.008698164,0.1186341],"study_design_scores_gemma":[0.00007132973,0.00295645,0.9732119,0.0001102579,0.0001610568,0.0002170087,0.003198261,0.00328834,0.008263803,0.004484374,0.003974548,0.00006266675],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9832506,0.0005006102,0.002394837,0.0007716351,0.00004705366,0.00007093902,0.0002542256,0.0000369975,0.01267323],"genre_scores_gemma":[0.9954652,0.0002986659,0.001308402,0.00008646952,0.00001331375,0.00005560903,0.0001763053,0.00003632725,0.002559822],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01255715,"threshold_uncertainty_score":0.04200786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4277652157102472,"score_gpt":0.4259427557018457,"score_spread":0.001822460008401472,"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."}}