{"id":"W4393897833","doi":"10.5281/zenodo.4517397","title":"Data from: Transcriptomic evidence for visual adaptation during the aquatic to terrestrial metamorphosis in leopard frogs","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Digital Imaging for Blood Diseases","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Metamorphosis; Leopard; Adaptation (eye); Biology; Transcriptome; Ecology; Larva; Neuroscience; Gene; Gene expression; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008833504,0.0003032577,0.0003464068,0.00038165,0.0009116298,0.004281308,0.007316272,0.00008361671,0.0006756338],"category_scores_gemma":[0.004153325,0.0002896452,0.000109752,0.001008541,0.0001034296,0.001694155,0.004294278,0.0003454346,0.002410272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002181059,"about_ca_system_score_gemma":0.00004562213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004982885,"about_ca_topic_score_gemma":0.00005968127,"domain_scores_codex":[0.9964032,0.0005646216,0.0005417726,0.001237607,0.0007530026,0.0004997706],"domain_scores_gemma":[0.9968603,0.0002861873,0.0002052587,0.002229475,0.0001933349,0.00022546],"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":[0.0001277051,0.0001980967,6.565346e-7,0.00009163246,0.00007869759,0.00003151946,0.0002425024,0.0001720436,0.0003155984,0.00001629351,0.9879954,0.01072987],"study_design_scores_gemma":[0.0007790139,0.0001341699,0.0001462191,0.0003298395,0.00009724675,0.00001841377,0.0001095494,0.008917903,0.0001600854,0.00008059772,0.9888887,0.0003382662],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002124462,0.0006035832,0.02819636,0.001359326,0.0005450535,0.001518109,0.9651577,0.0003859772,0.0001094595],"genre_scores_gemma":[0.00953778,0.0001302091,0.001548581,0.0002987529,0.0003155317,0.000001121411,0.9874994,0.0005773965,0.00009123726],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02664778,"threshold_uncertainty_score":0.9999556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1543221299594756,"score_gpt":0.3270955543826147,"score_spread":0.172773424423139,"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."}}