{"id":"W2351714158","doi":"","title":"Image Physical Content and Logical Content","year":2005,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Content (measure theory); Computer science; Relation (database); Image (mathematics); Field (mathematics); Key (lock); Information retrieval; Artificial intelligence; Data mining; Mathematics; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009343793,0.0001425986,0.0001580714,0.00005708497,0.0001532683,0.0002105979,0.0005683357,0.00004580155,0.000006110341],"category_scores_gemma":[8.905859e-7,0.0001191535,0.00007027054,0.0002027783,0.0001196821,0.0003282564,0.0002831923,0.0001279524,0.0001943792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004102015,"about_ca_system_score_gemma":0.00001905113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000468363,"about_ca_topic_score_gemma":5.680889e-7,"domain_scores_codex":[0.9989845,0.00002718534,0.0002130338,0.0004352135,0.000131738,0.0002083726],"domain_scores_gemma":[0.9992362,0.00005454097,0.00007120325,0.0003802533,0.0001412152,0.000116568],"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":[0.000001848864,0.0002720569,0.0000446078,0.000008470083,0.00001055176,9.026223e-7,0.0001993681,2.320727e-7,0.2177417,0.1096638,0.00108742,0.6709691],"study_design_scores_gemma":[0.0005569551,0.00008763111,0.007313993,0.00001275661,0.00001422309,0.0000896567,0.00002976106,0.0317475,0.1906712,0.005164714,0.7638624,0.0004491707],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003294857,0.000149838,0.9888449,0.006094984,0.000006556556,0.0004974249,0.000004708579,0.0004311937,0.0006755643],"genre_scores_gemma":[0.1547054,0.00004083905,0.842778,0.001459574,0.0002479793,0.0003576802,0.000007810522,0.000009556391,0.0003931412],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.762775,"threshold_uncertainty_score":0.4858939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04306282632762461,"score_gpt":0.2696861862783446,"score_spread":0.22662335995072,"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."}}