{"id":"W3204451878","doi":"10.4018/jdm.2021100101","title":"Text-Image Retrieval With Salient Features","year":2021,"lang":"en","type":"article","venue":"Journal of Database Management","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Image retrieval; Salient; Visual Word; Image (mathematics); Artificial intelligence; Automatic image annotation; Feature (linguistics); Information retrieval; Object (grammar); Pattern recognition (psychology); Semantics (computer science); Feature detection (computer vision); Matching (statistics); Representation (politics); Precision and recall; Computer vision; Image processing; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000698441,0.001196861,0.001726914,0.003724873,0.0005487752,0.001022367,0.001004198,0.00114208,0.003475209],"category_scores_gemma":[0.002316515,0.0002868398,0.001170697,0.00305063,0.000433273,0.00331638,0.001188072,0.0005451103,0.002857674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000535168,"about_ca_system_score_gemma":0.000439714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001469249,"about_ca_topic_score_gemma":0.001468006,"domain_scores_codex":[0.9990191,0.0001137936,0.0001032723,0.0002546534,0.000413785,0.0000953667],"domain_scores_gemma":[0.9992648,0.0001520747,0.0001042819,0.0001654227,0.0002695026,0.00004406017],"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":[0.0008332116,0.0003175954,0.001048725,0.0008709445,0.0001733386,0.0004046813,0.0001256176,0.007529548,0.1417891,0.002930449,0.01397184,0.830005],"study_design_scores_gemma":[0.0002901915,0.001561689,0.01003044,0.00009847531,0.0006629184,0.002990238,0.0003175274,0.677141,0.2559275,0.01815939,0.03262054,0.0002000744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.100665,0.01227912,0.8705514,0.0006007961,0.000622176,0.0007326712,0.001511442,0.006507551,0.006529922],"genre_scores_gemma":[0.6003397,0.003282153,0.3797443,0.0005721358,0.0008943038,0.0003033636,0.00384449,0.000289494,0.01073009],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003724873,"threshold_uncertainty_score":0.01162577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01007470902384069,"score_gpt":0.2686322453328724,"score_spread":0.2585575363090317,"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."}}