{"id":"W4385232734","doi":"10.3389/frym.2023.1023547","title":"Animals Helping Animals: How Dog Detectives Can Help Save Endangered Species","year":2023,"lang":"en","type":"article","venue":"Frontiers for Young Minds","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Endangered species; Work (physics); Zoology; Biology; Ecology; Engineering; Habitat","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":[0.003540092,0.0006167438,0.0004575438,0.0009735664,0.00290107,0.005123382,0.000855462,0.003078046,0.0127221],"category_scores_gemma":[0.006206557,0.0003938796,0.0004897785,0.0005162723,0.00561212,0.007125834,0.002415873,0.003750552,0.005062841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00143508,"about_ca_system_score_gemma":0.001903198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005172661,"about_ca_topic_score_gemma":0.01472234,"domain_scores_codex":[0.9986855,0.0006845955,0.00003069004,0.0001576303,0.0002553696,0.0001861842],"domain_scores_gemma":[0.9978058,0.000632039,0.0001993352,0.0001278978,0.000341113,0.0008937548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002099641,0.0006900016,0.03297205,0.001540188,0.0001713447,0.001476453,0.0510013,0.0002774626,0.008837368,0.07539306,0.3812905,0.4461404],"study_design_scores_gemma":[0.0000305788,0.000369671,0.03028351,0.001896241,0.000096569,0.002746714,0.058344,0.000259309,0.002036471,0.06285458,0.8409464,0.0001359317],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08972573,0.06942302,0.02169364,0.610512,0.0127868,0.0001822582,0.0004954418,0.001039746,0.1941414],"genre_scores_gemma":[0.5235326,0.09671223,0.08809786,0.1020098,0.003213741,0.0003786973,0.0006608265,0.0006840946,0.1847101],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0127221,"threshold_uncertainty_score":0.04255968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02815962247450061,"score_gpt":0.3110033004033365,"score_spread":0.2828436779288359,"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."}}