{"id":"W4375865344","doi":"10.18280/rces.100103","title":"Pokepedia: Pokemon Image Classification Using Transfer Learning","year":2023,"lang":"en","type":"article","venue":"Review of Computer Engineering Studies","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Transfer of learning; Artificial intelligence; Transfer (computing); Pattern recognition (psychology); Computer vision","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054693,0.0001704783,0.0004089043,0.0001835131,0.00007123205,0.00003177139,0.000401111,0.00003586318,0.000001561923],"category_scores_gemma":[0.00009331715,0.0001504215,0.0001356411,0.001065266,0.00003518539,0.0003008097,0.0001539285,0.0001450445,0.00002193867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004797817,"about_ca_system_score_gemma":0.00002438222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.721845e-7,"about_ca_topic_score_gemma":2.326781e-8,"domain_scores_codex":[0.9987618,0.00005444658,0.000431399,0.000271469,0.0002662891,0.0002145607],"domain_scores_gemma":[0.9991626,0.0001357432,0.00008100384,0.0003191427,0.0002642359,0.00003729846],"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":[0.000007505681,0.000205503,0.0004869149,0.08731847,0.0009192976,0.00007352258,0.003179842,0.006107483,0.1447145,0.07927513,0.007843288,0.6698685],"study_design_scores_gemma":[0.0002100512,0.0001259005,0.00359571,0.01074878,0.00007508382,0.00002375281,0.00003341375,0.950909,0.0166611,0.0001900354,0.01687855,0.0005485884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.001207187,0.02785607,0.9689258,0.0006723185,0.0002566518,0.0002154909,9.290605e-7,0.000825028,0.00004048392],"genre_scores_gemma":[0.1572013,0.4415494,0.3999961,0.0003911474,0.0004850138,0.0001083829,0.0000195404,0.0000778188,0.0001712745],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9448016,"threshold_uncertainty_score":0.6134012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0479041530581554,"score_gpt":0.3207360523711541,"score_spread":0.2728318993129987,"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."}}