{"id":"W2118151699","doi":"","title":"Component A - Brampton Arm of the River Nene","year":2014,"lang":"en","type":"article","venue":"","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Component (thermodynamics); Geology; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003381634,0.0000292448,0.00005512542,0.00001095436,0.00000832464,5.7753e-7,0.0000913386,0.00004360922,0.0001311822],"category_scores_gemma":[0.00001383835,0.00001748874,0.00002211187,0.00004170227,0.00006685163,0.000007329688,0.00002409341,0.00006728031,0.00001572964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004875206,"about_ca_system_score_gemma":0.000001497439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001335011,"about_ca_topic_score_gemma":0.000003967899,"domain_scores_codex":[0.9998001,0.000004411878,0.00005483986,0.00003039119,0.00004654486,0.00006368451],"domain_scores_gemma":[0.9998433,0.00001658023,0.000005772183,0.0001135244,0.000003990443,0.00001686232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000529423,0.0001111712,0.001981911,0.00009610431,0.00007946924,0.000001340493,0.0002882266,0.001023096,0.01474248,0.6206472,0.0207398,0.3402839],"study_design_scores_gemma":[0.0003661094,0.00003684801,0.006963003,0.00002431263,0.00001057772,0.000004222587,0.00002547966,0.05130874,0.1009325,0.01167135,0.8285593,0.00009757682],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8751801,0.0001734702,0.03315286,0.0008804542,0.0003328598,0.00007603017,6.829739e-7,0.0003329648,0.08987054],"genre_scores_gemma":[0.9992601,0.0000227048,0.0003993357,0.0001204084,0.00001363771,0.000001247922,2.373653e-7,0.000003162846,0.0001791883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8078195,"threshold_uncertainty_score":0.1436353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003554552649739902,"score_gpt":0.1712560719391891,"score_spread":0.1677015192894492,"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."}}