{"id":"W6940340460","doi":"10.6084/m9.figshare.c.7553570","title":"Mapping in silico genetic networks of the KMT2D tumour suppressor gene to uncover novel functional associations and cancer cell vulnerabilities","year":2024,"lang":"en","type":"other","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pancreas Centre (Canada); BC Cancer Agency; Dalhousie University; Canada's Michael Smith Genome Sciences Centre; Vancouver Coastal Health Research Institute; University of British Columbia","funders":"","keywords":"In silico; Suppressor; Gene; Cancer; Mutation; Tumor suppressor gene; Function (biology); Genetic screen","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":[0.0001273272,0.0004890526,0.0002813777,0.0006405676,0.0002526806,0.0003892992,0.0002861788,0.0002712702,0.003055232],"category_scores_gemma":[0.0003549879,0.0001367282,0.0005026298,0.0005053303,0.0001338783,0.0001894999,0.0002551837,0.0001612623,0.000354079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004666661,"about_ca_system_score_gemma":0.0004646498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00268812,"about_ca_topic_score_gemma":0.004086847,"domain_scores_codex":[0.9999393,0.00001417895,0.000002758278,0.000022576,0.00001313967,0.000008077357],"domain_scores_gemma":[0.999881,0.0000649763,0.00002596992,0.00001058223,0.000008908849,0.00000846938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004690003,0.0002713286,0.05041683,0.0005172206,0.0003242381,0.0008078679,0.00009408639,0.6799694,0.2317464,0.008556046,0.001471931,0.02535559],"study_design_scores_gemma":[0.00002808295,0.0001184651,0.01136959,0.000007589706,0.00009598082,0.0001837424,0.00004905737,0.9486534,0.03265304,0.003295816,0.003531447,0.00001374546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9239011,0.0002043767,0.06518941,0.000136234,0.00001659988,0.00005832919,0.003925324,0.001295974,0.005272605],"genre_scores_gemma":[0.9550053,0.0002084195,0.0384092,0.00002697572,0.000002850121,0.00007556795,0.00438757,0.00009187032,0.001792276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003055232,"threshold_uncertainty_score":0.01022083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02478742981158473,"score_gpt":0.2149075762648823,"score_spread":0.1901201464532976,"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."}}