{"id":"W2133102806","doi":"10.1126/science.1180823","title":"The Genetic Landscape of a Cell","year":2010,"lang":"en","type":"article","venue":"Science","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2247,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; York University; University of Toronto","funders":"National Human Genome Research Institute; Canadian Institutes of Health Research; Wellcome Trust","keywords":"Biology; Pleiotropy; Gene; Computational biology; Genetics; Saccharomyces cerevisiae; Genome; Gene mapping; Gene interaction; Gene regulatory network; Biological network; Evolutionary biology; Phenotype; Chromosome; Gene expression","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":[0.0001461117,0.0001094498,0.0001974765,0.0007493772,0.000554635,0.001309767,0.0002533577,0.0003389483,0.002294744],"category_scores_gemma":[0.0005887282,0.0001312747,0.0001707996,0.0009177462,0.0006667547,0.0008612059,0.0005781025,0.0003458085,0.0004683819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006687052,"about_ca_system_score_gemma":0.0004860165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001951917,"about_ca_topic_score_gemma":0.001843401,"domain_scores_codex":[0.9998235,0.0000395355,0.000005039329,0.00007681872,0.00003573282,0.00001941735],"domain_scores_gemma":[0.9998418,0.0000476253,0.00002350847,0.00002547672,0.00002857892,0.00003299713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002067,0.00007969471,0.04069691,0.0002844523,0.0002483974,0.0009081098,0.001094657,0.05369846,0.362972,0.3506252,0.005252329,0.1839331],"study_design_scores_gemma":[0.00005503845,0.0002848378,0.1057701,0.0001256449,0.0002313558,0.001687079,0.001721505,0.1071565,0.03971478,0.5313586,0.211735,0.0001595964],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.734584,0.004173147,0.210109,0.003258054,0.00007400333,0.00005506283,0.002515956,0.0005770109,0.04465378],"genre_scores_gemma":[0.9707187,0.0009316183,0.02409216,0.0002667958,0.00001856906,0.00004204103,0.0007320872,0.00005279285,0.003145312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002294744,"threshold_uncertainty_score":0.007676721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002913406724990164,"score_gpt":0.2028512115431558,"score_spread":0.1999378048181656,"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."}}