{"id":"W4394274970","doi":"10.6084/m9.figshare.19351415","title":"Additional file 3 of Interaction of lncRNA MIR100HG with hnRNPA2B1 facilitates m6A-dependent stabilization of TCF7L2 mRNA and colorectal cancer progression","year":2022,"lang":"en","type":"dataset","venue":"Open MIND","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Colorectal cancer; Messenger RNA; Cancer research; Computer science; Chemistry; Cancer; Biology; Medicine; Internal medicine; Biochemistry; Gene","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001141462,0.001602662,0.001835455,0.001824385,0.0007340047,0.002048217,0.002039371,0.001756367,0.4290807],"category_scores_gemma":[0.01142996,0.0005244493,0.001550295,0.003138019,0.0003363538,0.00118341,0.00134379,0.001239362,0.06978267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001101138,"about_ca_system_score_gemma":0.001857857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009665486,"about_ca_topic_score_gemma":0.0183009,"domain_scores_codex":[0.9992842,0.0001133731,0.0001071838,0.0002500919,0.0001297201,0.0001153887],"domain_scores_gemma":[0.9944396,0.003901396,0.0004239727,0.0003752419,0.0005942967,0.0002655969],"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":[0.000523845,0.00007230071,0.004907173,0.007183086,0.0002372148,0.00007605516,0.00005544429,0.0008250703,0.0002918649,0.0006510515,0.9807022,0.004474823],"study_design_scores_gemma":[0.006901747,0.0002298889,0.03573344,0.003901555,0.0007349193,0.0004152413,0.0002509644,0.001845627,0.001405544,0.006425523,0.9420292,0.0001263369],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008253327,0.00002494725,0.00002702586,0.00002782016,0.000004899711,0.0000074326,0.99964,0.00004930411,0.0001359907],"genre_scores_gemma":[0.001933817,0.00007853528,0.0004272091,0.0001360797,0.00001343712,0.0002718636,0.9957974,0.0001099595,0.001231809],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4290807,"threshold_uncertainty_score":0.814347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01717956212684894,"score_gpt":0.3066038470026646,"score_spread":0.2894242848758157,"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."}}