{"id":"W6948112212","doi":"10.5061/dryad.v1q13","title":"Data from: Natural selection and the predictability of evolution in Timema stick insects","year":2017,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Predictability; Selection (genetic algorithm); Natural selection; Natural (archaeology); Field (mathematics); Stabilizing selection","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":[0.001364123,0.002368903,0.001498561,0.002675237,0.0007584011,0.002024742,0.002603152,0.002775453,0.009428341],"category_scores_gemma":[0.005303766,0.0005742588,0.001638293,0.0033865,0.0006068181,0.0009634289,0.001932482,0.001438959,0.01420958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001191258,"about_ca_system_score_gemma":0.00125706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01904723,"about_ca_topic_score_gemma":0.03639576,"domain_scores_codex":[0.999111,0.0001734691,0.0001022313,0.0002813606,0.000219649,0.0001123263],"domain_scores_gemma":[0.9984817,0.0005295002,0.0002668449,0.0003793173,0.0001986494,0.0001439401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005423169,0.0001751956,0.02414194,0.003485518,0.0005709389,0.0003931393,0.0001649591,0.007809286,0.001263298,0.001708431,0.9416691,0.01807591],"study_design_scores_gemma":[0.001047497,0.0001251181,0.0802284,0.0008686856,0.0003993411,0.0008207352,0.0002450369,0.01252652,0.002025425,0.006202994,0.8953565,0.0001536401],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004930145,0.001020395,0.0004391231,0.0002977027,0.0000677129,0.0000222754,0.9917858,0.0008016749,0.0006351136],"genre_scores_gemma":[0.004957704,0.0001703054,0.0007221622,0.00005807855,0.00001336937,0.0000710219,0.9936169,0.00004895361,0.0003414234],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01904723,"threshold_uncertainty_score":0.03787273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02078752469960574,"score_gpt":0.2332118373271179,"score_spread":0.2124243126275122,"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."}}