{"id":"W2986793265","doi":"10.7554/elife.35957.029","title":"Author response: Functional trade-offs and environmental variation shaped ancient trajectories in the evolution of dim-light vision","year":2018,"lang":"en","type":"peer-review","venue":"","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Epistasis; Rhodopsin; Opsin; Evolutionary biology; Photosensitivity; Natural selection; Biology; Computer science; Retinal; Artificial intelligence; Selection (genetic algorithm); Genetics; Gene; Physics; Biochemistry; Optics","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":[0.003165288,0.001021895,0.001033935,0.0008649783,0.002012254,0.003230506,0.001385479,0.006660613,0.2453088],"category_scores_gemma":[0.01590859,0.000788154,0.0007253716,0.001016359,0.00144253,0.002815246,0.003387357,0.003528361,0.08385078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00201453,"about_ca_system_score_gemma":0.002474957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002541213,"about_ca_topic_score_gemma":0.006606115,"domain_scores_codex":[0.9982696,0.0003199959,0.0001124503,0.0004637698,0.0005414703,0.0002927305],"domain_scores_gemma":[0.9956598,0.001182235,0.000304773,0.0004601504,0.001760463,0.0006325856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004712608,0.0000245387,0.001961232,0.000373358,0.00002667649,0.000289608,0.0002279688,0.0004452468,0.00216315,0.005267336,0.9660312,0.02271827],"study_design_scores_gemma":[0.0004193168,0.0001017998,0.006814806,0.0006083036,0.0000486787,0.0006798581,0.002902864,0.001709823,0.006969984,0.02483611,0.9547231,0.0001853248],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.03101346,0.007617511,0.03502191,0.5161239,0.1211463,0.0006226337,0.05725206,0.01380536,0.2173969],"genre_scores_gemma":[0.214818,0.01136686,0.05126819,0.1618791,0.01748893,0.001561922,0.04148614,0.00731848,0.4928124],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2453088,"threshold_uncertainty_score":0.8206397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05359570459359497,"score_gpt":0.3338130435799734,"score_spread":0.2802173389863784,"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."}}