{"id":"W1561000089","doi":"10.1109/icip.2003.1247174","title":"Old fashion text-based image retrieval using FCA","year":2004,"lang":"en","type":"article","venue":"","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Image retrieval; Information retrieval; Alphanumeric; Scheme (mathematics); A priori and a posteriori; Image (mathematics); Formal concept analysis; Domain (mathematical analysis); Automatic image annotation; Data mining; Artificial intelligence; Pattern recognition (psychology); 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":[0.001309087,0.0008480424,0.001572072,0.003725614,0.0007967644,0.001791758,0.001737535,0.001259761,0.004648952],"category_scores_gemma":[0.003436162,0.0002464038,0.001406219,0.003398496,0.001021633,0.003078708,0.0005869933,0.0007967113,0.002949441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001224293,"about_ca_system_score_gemma":0.0007781638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006629013,"about_ca_topic_score_gemma":0.00437899,"domain_scores_codex":[0.9989718,0.0001318768,0.00009475154,0.0001754076,0.0005500796,0.00007608513],"domain_scores_gemma":[0.9986001,0.0004298032,0.0000885113,0.0002650371,0.0005893097,0.00002732844],"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":[0.0003767598,0.00008420255,0.0003416483,0.0005589811,0.0001264272,0.0002087843,0.00017752,0.01841411,0.05833289,0.01358465,0.005336371,0.9024575],"study_design_scores_gemma":[0.0001093247,0.0004479913,0.002032146,0.0001067515,0.0002886244,0.001671329,0.0002199924,0.7480614,0.1539245,0.03582595,0.05709844,0.0002135736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0122392,0.003322826,0.9785171,0.0002074324,0.0001881147,0.0001450256,0.0002019262,0.001894205,0.003284164],"genre_scores_gemma":[0.165349,0.003016264,0.8217887,0.0002186028,0.0003149772,0.0001794325,0.0006663013,0.0001619932,0.00830466],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006629013,"threshold_uncertainty_score":0.01555228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.024726310072188,"score_gpt":0.2565312339857836,"score_spread":0.2318049239135956,"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."}}