{"id":"W4393650210","doi":"10.5281/zenodo.6968452","title":"ICB_Riaz_RNAseq","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Computer science","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":[0.003498199,0.003496047,0.0032157,0.003897136,0.00261937,0.00545291,0.004381461,0.00290533,0.09425886],"category_scores_gemma":[0.007375346,0.001685209,0.002235617,0.005653844,0.0008485095,0.00230866,0.003096423,0.004578234,0.1858104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001915717,"about_ca_system_score_gemma":0.004070812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008410671,"about_ca_topic_score_gemma":0.0169353,"domain_scores_codex":[0.9971069,0.0003989855,0.0002584601,0.00122163,0.0006555479,0.0003585973],"domain_scores_gemma":[0.9977711,0.0005552841,0.0001784562,0.0007782236,0.0005409453,0.0001760365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003418268,0.00005334224,0.001500121,0.001856738,0.0001446897,0.00004805293,0.0000676022,0.0006012162,0.004038129,0.001181469,0.9849336,0.005233347],"study_design_scores_gemma":[0.0004426946,0.00007677897,0.004532194,0.0003791312,0.0001638559,0.0002225454,0.00009806619,0.001075197,0.006528799,0.003747301,0.9826384,0.00009508782],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004030507,0.0002609797,0.0009860538,0.00007653691,0.00007738551,0.00005533294,0.9929072,0.003470706,0.00176274],"genre_scores_gemma":[0.000582555,0.0000767261,0.001537565,0.00009828572,0.00000915993,0.000228262,0.9960452,0.0006072965,0.000814961],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09425886,"threshold_uncertainty_score":0.3153273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02005620450605383,"score_gpt":0.2447521107099478,"score_spread":0.224695906203894,"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."}}