{"id":"W4316672388","doi":"10.18280/ria.360615","title":"Multi Label Automatic Image Annotation Neural Network to Handle Multi Media Image Retrieval","year":2022,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Information retrieval; Image retrieval; Automatic image annotation; Search engine indexing; Image (mathematics); Data mining; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005893593,0.0006712861,0.0006843291,0.0008230488,0.0005546581,0.0007640506,0.001442786,0.001305565,0.002990942],"category_scores_gemma":[0.001267135,0.0003286686,0.0006419607,0.000835542,0.0003532466,0.001131973,0.0006849882,0.001152665,0.00111737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008388274,"about_ca_system_score_gemma":0.0007171151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009642997,"about_ca_topic_score_gemma":0.01114084,"domain_scores_codex":[0.9996463,0.00004971625,0.00002244677,0.0001209643,0.00009302508,0.00006757361],"domain_scores_gemma":[0.9996148,0.00008944052,0.00004088362,0.00005173859,0.0001833858,0.00001972804],"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":[0.0003693025,0.0005036548,0.001888017,0.0001631474,0.0001245922,0.0001382504,0.0001191781,0.12396,0.02313742,0.003204674,0.009969989,0.8364218],"study_design_scores_gemma":[0.000008017116,0.00005581096,0.0003937708,0.000007798874,0.00001901783,0.00002613291,0.0000162661,0.9941983,0.0035023,0.0008969381,0.0008684051,0.000007297634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07604644,0.001429343,0.9103978,0.000564353,0.0003554171,0.0001923236,0.0002791242,0.00384063,0.006894571],"genre_scores_gemma":[0.7371634,0.0007486333,0.2346718,0.0006071653,0.000321333,0.0003640295,0.001149381,0.0001546053,0.02481962],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009642997,"threshold_uncertainty_score":0.01917374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05308589695373084,"score_gpt":0.3024118110077947,"score_spread":0.2493259140540638,"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."}}