{"id":"W2612607781","doi":"10.15173/m.v1i27.1159","title":"Pathoprofile: Tumour-Induced Angiogenesis","year":2016,"lang":"en","type":"article","venue":"The Meducator","topic":"Angiogenesis and VEGF in Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Angiogenesis; Cancer research; Computational biology; Medicine; Biology","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":[0.0001968678,0.0001284966,0.00009479461,0.0000196622,0.0001007982,0.0000110667,0.0002886613,0.00007647854,0.0002465211],"category_scores_gemma":[0.00006089758,0.00006303304,0.0001433233,0.00007450487,0.0000672083,0.000002049454,0.00008183261,0.00002193162,0.0001583525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001755675,"about_ca_system_score_gemma":0.0001361833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001621888,"about_ca_topic_score_gemma":0.000008226405,"domain_scores_codex":[0.9992094,0.00005806243,0.00012356,0.0002526728,0.0001097191,0.0002465539],"domain_scores_gemma":[0.9993321,0.00002010211,0.0000533561,0.0004598004,0.00005057022,0.00008405263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002342138,0.00002260947,0.003105256,0.000002415085,0.00003322331,7.199222e-7,0.0000300276,7.799187e-8,0.9672557,0.00009276242,0.01405906,0.01537479],"study_design_scores_gemma":[0.000197544,0.00007664924,0.01459089,0.00001101577,0.0000232217,0.00001411063,0.0000818128,3.550421e-7,0.9051632,0.00006256023,0.07962289,0.0001557182],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994367,0.001569095,0.0002181624,0.002322023,0.0004878922,0.0001239068,0.00002168557,0.00001449787,0.000875712],"genre_scores_gemma":[0.9945495,0.000178876,0.0001264643,0.0007058021,0.001059861,0.00007786318,0.000007116484,0.00002886271,0.003265612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06556383,"threshold_uncertainty_score":0.2699234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01726752067978996,"score_gpt":0.2642745621388002,"score_spread":0.2470070414590103,"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."}}