{"id":"W4283783850","doi":"10.3390/ani12131711","title":"The Future of Artificial Intelligence in Monitoring Animal Identification, Health, and Behaviour","year":2022,"lang":"en","type":"article","venue":"Animals","topic":"Primate Behavior and Ecology","field":"Psychology","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Zoo; York University","funders":"Mitacs","keywords":"Identification (biology); Computer science; Software; Tracking (education); Data science; Artificial intelligence; Psychology; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006707016,0.00006687438,0.0001330321,0.00007074149,0.0002905646,0.0000159628,0.0002030286,0.00003824069,0.0001724558],"category_scores_gemma":[0.00001226819,0.0000620813,0.00002504382,0.0001906727,0.0000628849,0.00003093702,0.0001065854,0.0001930143,0.00001159237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004988118,"about_ca_system_score_gemma":0.00003157596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001884588,"about_ca_topic_score_gemma":0.0001020147,"domain_scores_codex":[0.9988878,0.0001739204,0.0004011581,0.0001995716,0.000103434,0.0002340643],"domain_scores_gemma":[0.9995213,0.0000714202,0.0001469721,0.0001944226,0.00002373413,0.00004216209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004982558,0.0003206366,0.773194,0.00001511778,0.00001305193,0.00002136929,0.01058247,0.000003758574,0.01512732,0.03935412,0.0008332291,0.1600367],"study_design_scores_gemma":[0.00005769745,0.0004226523,0.9739838,0.000001921665,0.00000586689,0.00002543897,0.02194277,0.000006814499,0.00102857,0.001293115,0.001160813,0.00007050031],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931734,0.003995574,0.000009872236,0.00141676,0.001121508,0.0001764586,0.00001463876,0.00001512686,0.00007663101],"genre_scores_gemma":[0.9995279,0.0001128986,0.00004003981,0.00004811441,0.0001005816,0.0001084736,0.0000031246,0.000009077522,0.00004979749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2007898,"threshold_uncertainty_score":0.2531602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04911673254792556,"score_gpt":0.3780898223054158,"score_spread":0.3289730897574902,"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."}}