{"id":"W157516286","doi":"10.1142/s0218194007003331","title":"COMPOSITE ALGORITHMS IN IMAGE CONTENT SEARCHES","year":2007,"lang":"en","type":"article","venue":"International Journal of Software Engineering and Knowledge Engineering","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Voting; Computer science; Image (mathematics); Similarity (geometry); Algorithm; Range (aeronautics); Image fusion; Component (thermodynamics); Data mining; Pattern recognition (psychology); 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":[0.0007657256,0.000127919,0.0001696343,0.0005633065,0.00001587819,0.0001112961,0.0005185913,0.00005243069,0.000001712246],"category_scores_gemma":[0.0003202147,0.0001214671,0.00006583604,0.0002325301,0.00001641106,0.0004746193,0.0001209308,0.0002958278,0.000002864036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001381033,"about_ca_system_score_gemma":0.0000356909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004234611,"about_ca_topic_score_gemma":5.633299e-7,"domain_scores_codex":[0.9990007,0.000008410541,0.000411795,0.0001270333,0.0002572888,0.0001947234],"domain_scores_gemma":[0.9990813,0.0002522253,0.00008608658,0.00009243462,0.0003773939,0.0001105554],"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":[0.0001026923,0.0005885683,0.01483611,0.0003248397,0.0004736332,0.001543511,0.004929577,0.003961697,0.3706952,0.02165144,0.0001799518,0.5807127],"study_design_scores_gemma":[0.002626944,0.0002971306,0.1934193,0.001626328,0.00002044803,0.001858631,0.000151556,0.4429865,0.341816,0.000273909,0.01388695,0.001036272],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03406593,0.001152915,0.9637452,0.0001100094,0.0007345214,0.00004045951,0.000001216886,0.0001181439,0.00003159042],"genre_scores_gemma":[0.6936854,0.0001336504,0.3058697,0.00001284711,0.0002353316,0.00000180684,9.465642e-7,0.00001467321,0.00004574786],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6596194,"threshold_uncertainty_score":0.4953284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02221451992268237,"score_gpt":0.2693671519047986,"score_spread":0.2471526319821162,"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."}}