{"id":"W2052091906","doi":"10.1023/b:mcbi.0000044373.61812.f7","title":"Verification of coronary angiogenesis by quantitative morphology","year":2004,"lang":"en","type":"review","venue":"Molecular and Cellular Biochemistry","topic":"Angiogenesis and VEGF in Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Morphology (biology); Computer science; Visualization; Angiogenesis; Sampling (signal processing); Clinical chemistry; Pathology; Biomedical engineering; Computational biology; Medicine; Data mining; Internal medicine; Biology; Computer vision","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":[0.002317351,0.001031487,0.001643833,0.002651563,0.0002797876,0.0014133,0.001556398,0.001237689,0.001175111],"category_scores_gemma":[0.001862912,0.000556086,0.0004289733,0.001670917,0.002367123,0.00160149,0.0006114817,0.002349916,0.001077007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001561423,"about_ca_system_score_gemma":0.001133591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001620444,"about_ca_topic_score_gemma":0.001233557,"domain_scores_codex":[0.9995085,0.00008552469,0.00004013124,0.0001307704,0.0002012075,0.00003381878],"domain_scores_gemma":[0.9987853,0.0006389107,0.00009311601,0.00009572667,0.000334534,0.00005236042],"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":[0.0001558493,0.0001359589,0.001059955,0.004993628,0.0001050721,0.0004786988,0.00008160503,0.001371105,0.04628094,0.03264372,0.01602703,0.8966665],"study_design_scores_gemma":[0.000115349,0.0003332839,0.006174623,0.001497047,0.0003226928,0.008044978,0.00017212,0.004113197,0.1130003,0.03424262,0.8317899,0.0001939025],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002139769,0.9628894,0.02464371,0.001683404,0.0006565899,0.00004119776,0.0001143874,0.0001317616,0.00769967],"genre_scores_gemma":[0.02256042,0.9548361,0.01658104,0.0007022674,0.0006394922,0.00007434397,0.0001893742,0.00003400879,0.004383121],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002651563,"threshold_uncertainty_score":0.01225549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0160604226508336,"score_gpt":0.2837154104063134,"score_spread":0.2676549877554798,"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."}}