{"id":"W4226280501","doi":"10.1007/s42991-021-00221-3","title":"Flukebook: an open-source AI platform for cetacean photo identification","year":2022,"lang":"en","type":"article","venue":"Mammalian Biology","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"National Science Foundation; Microsoft; Bureau of Ocean Energy Management; Gordon and Betty Moore Foundation; National Oceanic and Atmospheric Administration; Nvidia; Waitt Foundation; Organization of American States","keywords":"Citizen science; Identification (biology); Data science; Animal ecology; Software; Data sharing; Population; Computer science; Data collection; Scalability; World Wide Web; Biology; Ecology; Database","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006039923,0.0001345464,0.0001876045,0.00002407628,0.0006125501,0.00004615534,0.0009512631,0.00004441087,0.01121101],"category_scores_gemma":[0.00002931662,0.000132786,0.00004802749,0.0001381957,0.0001126478,0.0001781927,0.002153616,0.0001214705,0.0002822697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002179712,"about_ca_system_score_gemma":0.000008432059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00266188,"about_ca_topic_score_gemma":0.002267003,"domain_scores_codex":[0.998711,0.00008749438,0.0002530781,0.0005004526,0.0001066311,0.0003413382],"domain_scores_gemma":[0.9993911,0.00003392552,0.00011979,0.0003696332,0.000007639953,0.00007793156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008604387,0.0009061384,0.3563568,0.00007348479,0.0001297132,0.0000143853,0.002047914,0.0008521132,0.06632641,0.01807977,0.2020933,0.3522595],"study_design_scores_gemma":[0.0003813357,0.0005744597,0.03439849,7.010474e-7,0.0000123488,0.000009735831,0.0001970586,0.0004426317,0.0006999021,0.001912936,0.9611779,0.0001925418],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.965442,0.00007382855,0.001130303,0.001727593,0.0004208743,0.00180359,0.0001415501,0.000106787,0.02915347],"genre_scores_gemma":[0.9831415,0.000008110167,0.0005250638,0.003644373,0.00005754876,0.0006087364,0.0001696351,0.0000256498,0.01181941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7590845,"threshold_uncertainty_score":0.9896929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03905311154855859,"score_gpt":0.2931227088122866,"score_spread":0.254069597263728,"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."}}