{"id":"W3024328479","doi":"10.5281/zenodo.51412","title":"Araport Gene Slider","year":2016,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Animal Genetics and Reproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002627897,0.00008673652,0.00006223562,0.00005060821,0.0005945847,0.00009372661,0.000326315,0.00006266993,0.001998823],"category_scores_gemma":[0.0001786667,0.00006748059,0.00004273568,0.0001044209,0.000102778,0.000006556793,0.0004388961,0.00004867027,0.001899609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002061497,"about_ca_system_score_gemma":0.000002775419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001823336,"about_ca_topic_score_gemma":8.696939e-8,"domain_scores_codex":[0.9990706,0.00007327257,0.0001295829,0.0003808195,0.0001394126,0.0002063482],"domain_scores_gemma":[0.9991982,0.000001782163,0.00005056493,0.0003804342,0.0002777043,0.00009133528],"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":[0.00004423761,0.0000393744,0.00001193395,0.00000507697,0.00002364814,0.000002116398,0.00002897595,0.000005359158,0.865921,0.0003227085,0.06871383,0.06488169],"study_design_scores_gemma":[0.0002392349,0.000237831,0.001133207,0.00000501738,0.000005196924,0.00009510508,0.00002072449,0.000003753433,0.1204471,0.00006194192,0.8776464,0.0001045046],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8635682,0.0005570207,0.03984527,0.00246318,0.0003491078,0.000526645,0.0001744147,0.0003755974,0.0921405],"genre_scores_gemma":[0.9923488,0.0003460953,0.0002798657,0.00010011,0.0004357214,2.730016e-8,0.0004314347,0.0005404465,0.005517442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8089325,"threshold_uncertainty_score":0.9989135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02295134962936458,"score_gpt":0.2338597249905482,"score_spread":0.2109083753611837,"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."}}