{"id":"W4394439597","doi":"10.6084/m9.figshare.19097631","title":"miR-30b-5p inhibits osteoblast differentiation through targeting BCL6","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Osteoblast; BCL6; Cell biology; Chemistry; Biology; Genetics; Biochemistry; In vitro","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":[0.0004621025,0.00103981,0.001336326,0.001304097,0.0005053889,0.0008071193,0.0007320902,0.0005023877,0.02962016],"category_scores_gemma":[0.001085034,0.0003279446,0.0007655965,0.001915063,0.0001157411,0.0004051232,0.0007039621,0.0007607145,0.01333562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006225425,"about_ca_system_score_gemma":0.00120257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004747489,"about_ca_topic_score_gemma":0.01093998,"domain_scores_codex":[0.9995779,0.00008515112,0.00004427417,0.0001124465,0.0001219373,0.00005828112],"domain_scores_gemma":[0.9997329,0.0001147094,0.0000421919,0.00002966703,0.00004334347,0.0000371845],"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":[0.005689377,0.0004899795,0.01964137,0.01848824,0.000944241,0.0003670167,0.0003344742,0.006482671,0.1366089,0.002547466,0.6859707,0.1224356],"study_design_scores_gemma":[0.00271734,0.000542071,0.05339436,0.0008185816,0.000663948,0.0003477537,0.0001687702,0.009097858,0.07816172,0.001498213,0.8524767,0.0001126959],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01918714,0.002575292,0.001281059,0.0003676335,0.0000740855,0.0001448592,0.9682128,0.002596677,0.005560524],"genre_scores_gemma":[0.02223193,0.001733652,0.004972126,0.000164357,0.000008368901,0.0006631281,0.9671748,0.0003359203,0.002715633],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02962016,"threshold_uncertainty_score":0.09908932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01707845496642604,"score_gpt":0.2529382001306406,"score_spread":0.2358597451642146,"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."}}