{"id":"W2140641884","doi":"10.1158/1078-0432.ccr-09-1476","title":"Vascular Endothelial Growth Factor Concentration as a Predictive Marker: Ready for Primetime?","year":2010,"lang":"en","type":"letter","venue":"Clinical Cancer Research","topic":"Clinical Laboratory Practices and Quality Control","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Vascular endothelial growth factor; Medicine; Growth factor; Internal medicine; VEGF receptors; Receptor","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.009174311,0.0004865894,0.001734366,0.0001599027,0.0002980017,0.0001999204,0.0006179959,0.004749767,0.003174077],"category_scores_gemma":[0.05107646,0.000394108,0.0009730887,0.0003689495,0.001078816,0.0002158436,0.0001881116,0.01962828,0.0003606819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003334995,"about_ca_system_score_gemma":0.004898689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008484979,"about_ca_topic_score_gemma":0.00007980415,"domain_scores_codex":[0.9906585,0.002096765,0.00196613,0.001636955,0.00238375,0.001257882],"domain_scores_gemma":[0.965151,0.02804614,0.0006601952,0.001300444,0.004197448,0.0006447865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01137762,0.0005801284,0.006281633,0.0009339373,0.001524534,0.0002171505,0.00006653112,1.072856e-7,0.0005911682,0.0002777677,0.9688303,0.009319071],"study_design_scores_gemma":[0.006935125,0.004073324,0.002683446,0.000315589,0.0006703328,0.000005434294,0.0000213172,0.0001367174,0.000255302,0.0007025508,0.9838195,0.0003813118],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01954019,0.001572918,0.0001804495,0.9578733,0.003620452,0.008988797,0.004815965,0.0001714774,0.003236399],"genre_scores_gemma":[0.01868148,0.007327139,0.0007068461,0.8690766,0.08175693,0.00336502,0.002291076,0.0003986211,0.01639624],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08879672,"threshold_uncertainty_score":0.9998511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2872524556916874,"score_gpt":0.5549046254222392,"score_spread":0.2676521697305517,"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."}}