{"id":"W3003331135","doi":"10.1109/globalsip45357.2019.8969441","title":"Butterfly Classification with Machine Learning Methodologies for an Android Application","year":2019,"lang":"en","type":"article","venue":"","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Butterfly; Computer science; Machine learning; Artificial intelligence; Transfer of learning; Android (operating system); Operating system","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":[0.0002165011,0.00008442714,0.0001027189,0.000004981379,0.000109133,0.00004428836,0.0001192318,0.00005747516,0.00007960573],"category_scores_gemma":[0.00001465808,0.00002213917,0.00003071785,0.0001306385,0.00001317411,0.0001544928,0.00001296512,0.00006043626,0.00003834454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007410604,"about_ca_system_score_gemma":0.000001829313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001124128,"about_ca_topic_score_gemma":0.0004990553,"domain_scores_codex":[0.9993988,0.0000521207,0.00009091935,0.0002460008,0.00008068538,0.0001315153],"domain_scores_gemma":[0.9996114,0.0001876654,0.00006170075,0.00004254802,0.00006131873,0.0000353111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005896904,0.00002924633,0.0573768,0.000004235532,0.000006524136,3.900681e-8,0.00003194045,0.00002390553,0.842708,0.00153417,0.0002375128,0.09798867],"study_design_scores_gemma":[0.0004050395,0.002575195,0.7526132,0.000008604695,0.00002648601,0.000009975574,0.001652442,0.004947756,0.03238831,0.001255592,0.2037153,0.0004020751],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99159,0.00003017616,0.003491479,0.001552337,0.00003079352,0.0004895313,0.000006733652,0.0001578563,0.002651111],"genre_scores_gemma":[0.9932379,0.000008122343,0.004243034,0.0002238019,0.0001367693,0.00007280105,0.0003517979,6.785077e-7,0.001725165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8103197,"threshold_uncertainty_score":0.09028091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06156667533623498,"score_gpt":0.2701733323471587,"score_spread":0.2086066570109237,"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."}}