{"id":"W4220709567","doi":"10.1109/icais53314.2022.9742798","title":"Analysis of Deep Learning Methods for Detection of Bird Species","year":2022,"lang":"en","type":"article","venue":"2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS)","topic":"Digital Media Forensic Detection","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Computer science; Deep learning; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0006292387,0.0001433098,0.0003159241,0.0008418676,0.0001661132,0.00009661124,0.0005584573,0.00004617159,0.0009072658],"category_scores_gemma":[0.0002453167,0.0001514644,0.0001970818,0.0009117691,0.0001290746,0.0003205708,0.0002661833,0.000174771,0.000002213606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006480035,"about_ca_system_score_gemma":0.00004220102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001041588,"about_ca_topic_score_gemma":0.0005455045,"domain_scores_codex":[0.9982999,0.0001606062,0.0005616483,0.0004213803,0.0003837226,0.0001727401],"domain_scores_gemma":[0.9986162,0.0003892719,0.0003504583,0.000234297,0.0003489067,0.00006090691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007259446,0.00006832184,0.00006556638,0.000004718304,0.0002126686,6.694301e-7,0.0003793691,0.003200887,0.03471611,0.4137897,0.000003709343,0.5474856],"study_design_scores_gemma":[0.000038028,0.0006248343,0.0003213367,0.000005158605,0.00004844373,0.000003106345,0.0008541351,0.7298414,0.2314198,0.02979343,0.006901709,0.0001485903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03737208,0.0000497393,0.9559869,0.0001955493,0.001332126,0.00009319239,0.0000239437,0.00005570385,0.004890732],"genre_scores_gemma":[0.9957823,0.00004611138,0.003350657,0.00009172015,0.00004314847,0.00007873441,0.00002346505,0.00001061206,0.0005732597],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9584102,"threshold_uncertainty_score":0.9933923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0627383028276587,"score_gpt":0.318791137053182,"score_spread":0.2560528342255233,"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."}}