{"id":"W7104859113","doi":"10.5281/zenodo.17583227","title":"Novel Integrative Genomics Methods","year":2023,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"","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":[0.00237992,0.001552481,0.001341344,0.001721832,0.0009882842,0.002386229,0.002006824,0.001270269,0.007912096],"category_scores_gemma":[0.001555814,0.0007966252,0.001852912,0.00107909,0.001105567,0.001947283,0.003124031,0.002925718,0.006246283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001095045,"about_ca_system_score_gemma":0.001185196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007117925,"about_ca_topic_score_gemma":0.001033149,"domain_scores_codex":[0.9977002,0.0005312865,0.00007575522,0.0009155645,0.0006018445,0.0001754108],"domain_scores_gemma":[0.9991763,0.0002667477,0.00004252229,0.00032103,0.0001310161,0.00006236664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001921053,0.0001524494,0.001296609,0.0005968203,0.0001900929,0.0002003317,0.0003705275,0.004283367,0.2428445,0.3563198,0.01839365,0.3751597],"study_design_scores_gemma":[0.0001018431,0.0002156689,0.003299351,0.0001538868,0.0002313,0.001359899,0.0002211298,0.07972003,0.1615913,0.3533964,0.3995585,0.0001506975],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003961972,0.001125162,0.9801283,0.0004213887,0.0003191302,0.0001026952,0.0008003957,0.002608443,0.0105325],"genre_scores_gemma":[0.05673477,0.001709187,0.9181067,0.0007713557,0.0002542525,0.0005612881,0.004514349,0.001830939,0.01551709],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007912096,"threshold_uncertainty_score":0.02646863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06000000092026794,"score_gpt":0.3286501797845739,"score_spread":0.268650178864306,"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."}}