{"id":"W7098634639","doi":"","title":"PROSTATE TUMOUR VOLUME MEASUREMENT ON DIGITAL HISTOPATHOLOGY AND MAGNETIC RESONANCE IMAGING","year":2014,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Volume (thermodynamics); Magnetic resonance imaging; Histopathology; Prostate; Prostate cancer; Medical imaging","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009248084,0.0002502879,0.0003493953,0.003849797,0.0002885382,0.002046942,0.000559753,0.0006274078,0.009202498],"category_scores_gemma":[0.003972174,0.0003715783,0.0004501145,0.001606952,0.000520484,0.0008109207,0.0009137005,0.0003932163,0.003448661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000738088,"about_ca_system_score_gemma":0.0007493086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009337368,"about_ca_topic_score_gemma":0.01730208,"domain_scores_codex":[0.9992093,0.0001130142,0.00004446201,0.000151376,0.0003980423,0.00008376162],"domain_scores_gemma":[0.9988042,0.000265563,0.0002414966,0.0001549476,0.0004570547,0.00007676698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001671107,0.0001972001,0.349327,0.00133026,0.0004847469,0.001273979,0.0006106685,0.008359662,0.07039358,0.002576766,0.02043478,0.5433401],"study_design_scores_gemma":[0.00006733883,0.0004034539,0.8920336,0.0005557383,0.000397873,0.007102496,0.001162307,0.02174384,0.03898735,0.001965965,0.03542286,0.000157157],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8567274,0.01371681,0.03705499,0.001295008,0.0006137987,0.0003966107,0.01348588,0.001828204,0.07488126],"genre_scores_gemma":[0.9616653,0.004406672,0.01715488,0.0002151317,0.0001779057,0.00005377845,0.003673337,0.0002671358,0.01238584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009337368,"threshold_uncertainty_score":0.03078544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02204794052394113,"score_gpt":0.1686917316606067,"score_spread":0.1466437911366656,"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."}}