{"id":"W2487092032","doi":"10.1142/9789814273398_0007","title":"A REGION TREE BASED IMAGE DISCRETE LABELING FRAMEWORK","year":2009,"lang":"en","type":"book-chapter","venue":"WORLD SCIENTIFIC eBooks","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tree (set theory); Image (mathematics); Computer science; Artificial intelligence; Computer vision; Mathematics; Combinatorics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004263405,0.0004098531,0.0003339078,0.0002444292,0.0007520129,0.0004045652,0.0005419083,0.0002316642,0.0008538012],"category_scores_gemma":[0.00001660552,0.000392204,0.0002597092,0.0001324433,0.001039171,0.00006091587,0.0001418635,0.0006703829,0.002407713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002336012,"about_ca_system_score_gemma":0.00004775715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001949694,"about_ca_topic_score_gemma":0.001279917,"domain_scores_codex":[0.9972226,0.00003196853,0.0004160723,0.001127934,0.0007441682,0.0004572765],"domain_scores_gemma":[0.9978954,0.00009660287,0.0002759957,0.001471101,0.00002750596,0.0002334565],"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":[0.00007376545,0.0001012389,0.00005518835,0.00006681324,0.0000704349,0.0002410297,0.001351791,0.0003437533,0.02270584,0.09831253,0.2964342,0.5802435],"study_design_scores_gemma":[0.0001144064,0.00001730331,0.00004442354,0.0003176983,0.00005717242,0.000005356568,0.000004832075,0.000761606,0.0008683889,0.05332991,0.9439894,0.0004895225],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00009151342,0.00004099768,0.004924464,0.0006020921,0.0004452814,0.0004317873,0.00001419789,0.000206501,0.9932432],"genre_scores_gemma":[0.006028944,6.761199e-7,0.02835901,0.0004252929,0.0001543272,0.000003814616,0.0000531289,0.00006685426,0.9649079],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6475552,"threshold_uncertainty_score":0.999853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01738222950410967,"score_gpt":0.2355614008130283,"score_spread":0.2181791713089186,"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."}}