{"id":"W6948197747","doi":"10.5061/dryad.vs370","title":"Data from: Widespread genetic incompatibilities between first-step mutations during parallel adaptation of Saccharomyces cerevisiae to a common environment","year":2016,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Epistasis; Mutant; Saccharomyces cerevisiae; Mutation; Adaptation (eye); Gene; Selection (genetic algorithm); Allele","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":[0.0004611471,0.0004664173,0.0004677349,0.001135528,0.0004691831,0.0005817538,0.0004457626,0.0006497366,0.005669368],"category_scores_gemma":[0.001221183,0.0001929966,0.0005641107,0.001330966,0.0002813557,0.0002816321,0.0007035905,0.0009300901,0.001225684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003033335,"about_ca_system_score_gemma":0.0002547333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001633361,"about_ca_topic_score_gemma":0.002439096,"domain_scores_codex":[0.9993275,0.00006446828,0.0001429254,0.0001383057,0.0002596932,0.0000670763],"domain_scores_gemma":[0.998435,0.0003738438,0.0003266777,0.0003537832,0.0002603111,0.0002503297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002009941,0.0004843941,0.05696681,0.0006373634,0.0003093695,0.0006921249,0.0003146693,0.0004662494,0.9170492,0.0003855751,0.001964542,0.01871976],"study_design_scores_gemma":[0.0001195026,0.001195073,0.5593275,0.00005759651,0.0003214198,0.004322316,0.0003375139,0.001526509,0.4096428,0.0004829055,0.02257831,0.00008855227],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9726653,0.0009360272,0.005664738,0.0003591476,0.000119672,0.00009432754,0.01606182,0.0002259531,0.003873155],"genre_scores_gemma":[0.9688758,0.000746006,0.006424405,0.0003027247,0.00002732643,0.0001142133,0.02129925,0.00008047994,0.002129654],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.005669368,"threshold_uncertainty_score":0.0189659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02332192762042504,"score_gpt":0.2716974509565124,"score_spread":0.2483755233360874,"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."}}