{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001870606,0.0005441362,0.0004544196,0.004588435,0.001037261,0.008145358,0.0007952966,0.001543225,0.01884808],"category_scores_gemma":[0.01354872,0.0003673555,0.0004953383,0.002842925,0.008094634,0.0144672,0.002994903,0.001852236,0.003072723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002269301,"about_ca_system_score_gemma":0.0009928468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001291641,"about_ca_topic_score_gemma":0.0007951898,"domain_scores_codex":[0.9971468,0.0006901956,0.0002376099,0.0005754991,0.001122791,0.000227104],"domain_scores_gemma":[0.9933918,0.003067219,0.0007854294,0.0009062076,0.001526226,0.0003232129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006954394,0.00002893855,0.0007139446,0.0003548981,0.0000198916,0.0002188981,0.0008339518,0.0004533429,0.002497361,0.9376297,0.00584817,0.05133138],"study_design_scores_gemma":[0.00002477281,0.000100099,0.005300725,0.0004295652,0.00007304947,0.001984497,0.001823825,0.005363469,0.004372721,0.778871,0.2015817,0.0000746087],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04647602,0.0338975,0.3948835,0.01686537,0.003418427,0.0003949985,0.001658343,0.0008754507,0.5015303],"genre_scores_gemma":[0.7225825,0.01882975,0.1727295,0.004460927,0.005879452,0.0006664022,0.001970282,0.000444681,0.07243645],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01884808,"threshold_uncertainty_score":0.06305313,"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."}}