{"id":"W2741647816","doi":"10.1158/1538-7445.am2017-2834","title":"Abstract 2834: Metastatic colorectal cancer: characterization of distinct histological growth patterns which demonstrate different response to current treatment regimes","year":2017,"lang":"en","type":"article","venue":"Cancer Research","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University","funders":"","keywords":"Colorectal cancer; Medicine; Stromal cell; Metastasis; Immunohistochemistry; Bevacizumab; Angiogenesis; Cancer; Pathology; Cancer research; Parenchyma; Oncology; Internal medicine; Chemotherapy","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":[0.0001060765,0.0002229905,0.0002408926,0.0005487857,0.0001862833,0.0002317436,0.00009623832,0.0001999092,0.003745504],"category_scores_gemma":[0.0001448725,0.00008330739,0.0002563894,0.0005354714,0.0001846544,0.0001312073,0.0001450534,0.0003100321,0.0005835718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002099249,"about_ca_system_score_gemma":0.0001810072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006704642,"about_ca_topic_score_gemma":0.0008311721,"domain_scores_codex":[0.9998921,0.00001178313,0.000007098384,0.00002669955,0.00003500904,0.00002717458],"domain_scores_gemma":[0.9999181,0.00001232625,0.00002520687,0.000005164668,0.00001757608,0.00002171555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007085288,0.00007094724,0.02115178,0.0001449444,0.00002494423,0.000233587,0.00004608096,0.00008015008,0.9709462,0.00005521315,0.0003178264,0.00621985],"study_design_scores_gemma":[0.00007752452,0.001914851,0.6450356,0.0000223577,0.0001014649,0.00345593,0.0003915949,0.0009877658,0.3400308,0.0001897898,0.007774473,0.00001786869],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944565,0.0009718956,0.0008333853,0.0001285807,0.00001903003,0.00004362281,0.002036951,0.00004956693,0.001460392],"genre_scores_gemma":[0.9880767,0.0006949146,0.00244301,0.0001411356,0.00001669156,0.000160461,0.004330114,0.000024477,0.004112415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003745504,"threshold_uncertainty_score":0.01252991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08142278276832707,"score_gpt":0.432581680084659,"score_spread":0.3511588973163319,"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."}}