{"id":"W4313534596","doi":"10.5281/zenodo.7504499","title":"Synergistic inter-clonal cooperation involving crosstalk, co-option and co-dependency can enhance the invasiveness of genetically distant cancer clones Dataset","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Crosstalk; Genetically engineered; Dependency (UML); Computational biology; Biology; Computer science; Genetics; Gene; Engineering; Artificial intelligence","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":[0.0006068346,0.0009990885,0.0009570736,0.001794942,0.0009319404,0.001228888,0.0008564611,0.0009953129,0.0295171],"category_scores_gemma":[0.001712143,0.0002501956,0.0009926482,0.002227359,0.0003078651,0.0004278337,0.0008843805,0.001037098,0.01277144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006196834,"about_ca_system_score_gemma":0.001102139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007299657,"about_ca_topic_score_gemma":0.0225327,"domain_scores_codex":[0.9990485,0.00008702477,0.00006347043,0.0003643597,0.0002873953,0.0001492552],"domain_scores_gemma":[0.9989212,0.0003725254,0.0001178585,0.0002650809,0.0002146697,0.0001087171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001618939,0.000425223,0.04549118,0.006664823,0.001012537,0.0006401333,0.0002981481,0.006027094,0.1404823,0.004100056,0.7115673,0.0816722],"study_design_scores_gemma":[0.0002963488,0.000251941,0.2060155,0.000398004,0.0005577708,0.0009845525,0.0004256887,0.005216152,0.06248632,0.005074267,0.7181355,0.0001578986],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0204958,0.0004408144,0.001988821,0.0001379863,0.00007451432,0.00005355137,0.9711719,0.001623198,0.004013342],"genre_scores_gemma":[0.01914932,0.000181466,0.004438445,0.0001185527,0.000009433311,0.0001693818,0.9732299,0.0003281798,0.002375192],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0295171,"threshold_uncertainty_score":0.09874451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0230960687731391,"score_gpt":0.3234008395544041,"score_spread":0.3003047707812651,"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."}}