{"id":"W2040196730","doi":"10.1039/c3an01022h","title":"Infrared spectral histopathology for cancer diagnosis: a novel approach for automated pattern recognition of colon adenocarcinoma","year":2014,"lang":"en","type":"article","venue":"The Analyst","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Cancer Research; Institut National Du Cancer; Ligue Contre le Cancer","keywords":"Histopathology; Linear discriminant analysis; Pathology; Pattern recognition (psychology); Spectral signature; Artificial intelligence; Computer science; Medicine; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0003248067,0.00009905934,0.0001808244,0.00003745663,0.000057449,0.000007063837,0.0002750589,0.0001505957,0.00002429669],"category_scores_gemma":[0.0001696048,0.00007062664,0.0001337889,0.00009613379,0.0001836651,0.000001733084,0.00006141776,0.00006944548,4.853088e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002691038,"about_ca_system_score_gemma":0.000040888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004832345,"about_ca_topic_score_gemma":0.00001651125,"domain_scores_codex":[0.999177,0.00003676498,0.0001992548,0.0002484625,0.0001034736,0.0002349993],"domain_scores_gemma":[0.9994211,0.00006586488,0.00009580768,0.0002438197,0.0001238887,0.00004947465],"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":[0.0003296161,0.0002296645,0.002467887,0.0001462598,0.00008936297,1.832759e-7,0.00003357383,0.00000505618,0.9623784,0.0001136871,0.02843207,0.005774211],"study_design_scores_gemma":[0.00096641,0.0009534092,0.001590399,0.00002317594,0.0001256001,0.000005085953,0.00002519614,0.01320199,0.9598681,0.0011994,0.02187499,0.0001662883],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5080226,0.0008270123,0.4874514,0.0005413835,0.0000783258,0.0009787662,0.0005004423,0.00007584986,0.001524214],"genre_scores_gemma":[0.983332,0.0001071476,0.01276215,0.0003649044,0.000297883,0.00214996,0.0006595016,0.00001947627,0.0003069332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4753094,"threshold_uncertainty_score":0.2880071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02801875762302655,"score_gpt":0.326916461114299,"score_spread":0.2988977034912725,"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."}}