{"id":"W4377103307","doi":"10.3390/cancers15102805","title":"Multi-Omic Analysis of CIC’s Functional Networks Reveals Novel Interaction Partners and a Potential Role in Mitotic Fidelity","year":2023,"lang":"en","type":"article","venue":"Cancers","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Terry Fox Research Institute; Alberta Children's Hospital; University of Calgary; Canada's Michael Smith Genome Sciences Centre; Genome British Columbia; University of British Columbia","funders":"BC Cancer Foundation; University of British Columbia; Canada Research Chairs; Genome British Columbia; Canadian Institutes of Health Research; Canada's Michael Smith Genome Sciences Centre; Genome Canada; Killam Trusts; University of Calgary","keywords":"Computational biology; Fidelity; Mitosis; Biology; Cell biology; Computer science; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004582589,0.0004623779,0.0005937424,0.002804303,0.0005761283,0.00112081,0.0003834601,0.000335006,0.001145719],"category_scores_gemma":[0.0008357168,0.0001781389,0.0006647884,0.002258224,0.0003214555,0.0007955218,0.000739685,0.0004798025,0.0003587749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008124456,"about_ca_system_score_gemma":0.0005460891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001858566,"about_ca_topic_score_gemma":0.003109402,"domain_scores_codex":[0.9996809,0.00004513561,0.00002489679,0.0001265398,0.00008960037,0.00003297615],"domain_scores_gemma":[0.9993265,0.0001921646,0.000254099,0.00008685279,0.00006715074,0.00007327086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007952748,0.0001499081,0.1132574,0.002131153,0.001107708,0.002796415,0.0005279829,0.01370388,0.760101,0.01231476,0.003239937,0.08987458],"study_design_scores_gemma":[0.00004380262,0.0002433321,0.5517325,0.0003103745,0.001233429,0.004255112,0.0008209593,0.2037886,0.1532328,0.03079467,0.05344705,0.00009749179],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8870508,0.009737469,0.07707429,0.00117513,0.00006974163,0.00006661619,0.01721481,0.001570231,0.006040905],"genre_scores_gemma":[0.9477366,0.002868881,0.03375146,0.0001511686,0.00003254158,0.00005362008,0.01417822,0.0001301763,0.001097324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002804303,"threshold_uncertainty_score":0.005894721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01718071876180106,"score_gpt":0.2750323763151411,"score_spread":0.2578516575533401,"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."}}