{"id":"W3125967079","doi":"10.1016/j.jmoldx.2021.01.006","title":"Innovative Tumor Tissue Dissection Tool for Molecular Oncology Diagnostics","year":2021,"lang":"en","type":"article","venue":"Journal of Molecular Diagnostics","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Roche","keywords":"Dissection (medical); Precision oncology; Molecular oncology; Computational biology; Medicine; Medical physics; Internal medicine; Oncology; Bioinformatics; Pathology; Biology; Radiology; Cancer","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":[0.001697974,0.0007741108,0.0004351,0.00167552,0.0004075224,0.0007316268,0.001000583,0.0006751093,0.005805559],"category_scores_gemma":[0.001608662,0.000632913,0.0005731644,0.0008275037,0.0003799595,0.001012862,0.0009634125,0.0008795877,0.002644183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003814855,"about_ca_system_score_gemma":0.0006422284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005214402,"about_ca_topic_score_gemma":0.00120371,"domain_scores_codex":[0.9986493,0.0002017082,0.0001016989,0.0003832792,0.0006019076,0.00006212787],"domain_scores_gemma":[0.9989473,0.0003212734,0.0002069024,0.0002083462,0.0002422415,0.00007407138],"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":[0.0004038465,0.00008378966,0.006378219,0.0004211371,0.00005821863,0.0004105737,0.0002228734,0.0008160321,0.8031782,0.001499703,0.006082327,0.1804451],"study_design_scores_gemma":[0.0001598426,0.001621161,0.03892486,0.0002933995,0.0003495305,0.0169992,0.0002419117,0.0268207,0.7296443,0.001994339,0.1827125,0.0002382309],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1395428,0.01388507,0.8226464,0.0008149952,0.0009162577,0.001013363,0.001967801,0.008667656,0.01054559],"genre_scores_gemma":[0.1434433,0.004338013,0.8354803,0.000888431,0.0002311587,0.001057417,0.003541875,0.0005767557,0.01044275],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005805559,"threshold_uncertainty_score":0.01942152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007563469660906704,"score_gpt":0.2860085444222486,"score_spread":0.2784450747613419,"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."}}