{"id":"W2916683860","doi":"10.31142/ijtsrd14566","title":"Image Tagging With Social Assistance","year":2018,"lang":"en","type":"article","venue":"International Journal of Trend in Scientific Research and Development","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"ASTER","funders":"","keywords":"Computer science; Computer vision; 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":[0.002280453,0.00005879827,0.00008655689,0.0007051834,0.0002412386,0.0008532769,0.000868809,0.00002169336,0.00002504261],"category_scores_gemma":[0.00007215497,0.00004220813,0.00001521405,0.0005705535,0.0004769224,0.0007020906,0.0001838713,0.0001790427,0.00001020821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001505071,"about_ca_system_score_gemma":0.0003717195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001798772,"about_ca_topic_score_gemma":0.00003482756,"domain_scores_codex":[0.9979368,0.00005764516,0.0003049113,0.0002012203,0.001294003,0.0002054266],"domain_scores_gemma":[0.9982474,0.00005838635,0.0001305029,0.00009419609,0.001396311,0.00007319775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004635373,0.0007226665,0.005990218,0.00002748755,0.0001338516,0.000489655,0.01503178,2.938837e-7,0.05727289,0.0305266,0.03125186,0.8580891],"study_design_scores_gemma":[0.002138608,0.0006265028,0.0872134,0.0004121676,0.000001951629,0.0003933048,0.001270731,0.001447951,0.2963742,0.01031219,0.5993775,0.0004315192],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.219155,0.0002394119,0.7537594,0.01589098,0.001517247,0.0001864334,0.000004724902,0.00005325779,0.0091935],"genre_scores_gemma":[0.8518296,0.00001396062,0.1472161,0.000041299,0.0001243474,0.000003893772,0.000001432484,0.000003295566,0.0007659733],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8576576,"threshold_uncertainty_score":0.8228168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08076619290715345,"score_gpt":0.3934073984828766,"score_spread":0.3126412055757232,"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."}}