{"id":"W4248429255","doi":"10.3410/f.726403458.793520793","title":"Faculty Opinions recommendation of Dual targeting of p53 and c-MYC selectively eliminates leukaemic stem cells.","year":2016,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Cancer-related Molecular Pathways","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Dual (grammatical number); Cancer research; Stem cell; Computer science; Chemistry; Computational biology; Biology; Cell biology; Art","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":[0.00133355,0.001771247,0.001545079,0.002300226,0.0005571542,0.002552569,0.002216287,0.002157934,0.05984745],"category_scores_gemma":[0.007727099,0.0005201374,0.001884784,0.003395086,0.0003362298,0.001223201,0.001341839,0.00143083,0.06137034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001560024,"about_ca_system_score_gemma":0.003025727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0192276,"about_ca_topic_score_gemma":0.05095655,"domain_scores_codex":[0.9988882,0.0001617996,0.000138887,0.0003408157,0.0003298883,0.0001405652],"domain_scores_gemma":[0.9975069,0.0006119056,0.0003961253,0.0004886872,0.0006183842,0.0003780889],"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":[0.000244306,0.00003441909,0.002447073,0.001062982,0.00009832034,0.00002939008,0.000009693648,0.0002804748,0.0002881163,0.0002455854,0.9905267,0.00473286],"study_design_scores_gemma":[0.0009481457,0.00006564951,0.01098615,0.000596515,0.0002115053,0.0001517164,0.00004044372,0.0009898072,0.001441737,0.001302799,0.9832255,0.00003997368],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002884966,0.0001844015,0.00007094761,0.0001705679,0.00004440589,0.00001700555,0.9979185,0.0002815412,0.001024129],"genre_scores_gemma":[0.0009268065,0.0001716988,0.0003105557,0.0001457297,0.00001665226,0.00004708465,0.9970028,0.00005137335,0.001327363],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05984745,"threshold_uncertainty_score":0.2002096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02369579656905267,"score_gpt":0.3223445949020327,"score_spread":0.29864879833298,"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."}}