{"id":"W4395955659","doi":"10.55041/ijsrem31987","title":"IMAGE CAPTION GENERATOR USING DEEP LEARNING","year":2024,"lang":"en","type":"article","venue":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Convolutional neural network; Closed captioning; Artificial intelligence; Encoder; Generator (circuit theory); Deep learning; Image (mathematics); Convolution (computer science); Task (project management); Pattern recognition (psychology); Computer vision; Artificial neural network","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":[0.003141586,0.00007115661,0.00008572009,0.001485094,0.0001327364,0.001035439,0.0003780412,0.00002063405,0.000006480808],"category_scores_gemma":[0.00004592622,0.00006457552,0.00004509708,0.000928234,0.00006091042,0.0005261237,0.0002123406,0.0005010841,0.00001325741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001241672,"about_ca_system_score_gemma":0.00002657864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001768499,"about_ca_topic_score_gemma":9.097003e-7,"domain_scores_codex":[0.9985864,0.00008380746,0.000275491,0.0002423942,0.0005886276,0.0002233528],"domain_scores_gemma":[0.9994729,0.0001158689,0.00003411034,0.0001244606,0.000174366,0.00007828951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001484531,0.0001294439,0.0004873664,0.000956128,0.0001373286,0.0007034926,0.001371122,0.515084,0.1204612,0.1689828,0.0003385143,0.1913338],"study_design_scores_gemma":[0.00011348,0.00002445707,0.002261914,0.0004147645,0.0000029054,0.00009476499,0.00003818916,0.9907851,0.0001428685,0.0007156424,0.005344603,0.00006136929],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2898254,0.0008081619,0.7077357,0.0007121101,0.0006569761,0.0000937234,4.061657e-7,0.00003453526,0.0001329974],"genre_scores_gemma":[0.9031614,0.00009436899,0.09656138,0.000003097776,0.00007785578,0.000006068191,8.696391e-7,0.000007149726,0.00008778898],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.613336,"threshold_uncertainty_score":0.9984764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03904444950279942,"score_gpt":0.3576777065794045,"score_spread":0.3186332570766051,"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."}}