{"id":"W2801136517","doi":"10.1016/j.jmb.2018.04.043","title":"Molecular Illustration in Research and Education: Past, Present, and Future","year":2018,"lang":"en","type":"review","venue":"Journal of Molecular Biology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences; National Institutes of Health; National Science Foundation","keywords":"Dissemination; Data science; Key (lock); Engineering ethics; Molecular graphics; Computer science; Computational biology; Biology; Computer graphics; Engineering; Ecology; Computer graphics (images)","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":[0.002871687,0.0009079977,0.001078588,0.003496959,0.0006089906,0.003771599,0.002124622,0.003942891,0.01056434],"category_scores_gemma":[0.005023833,0.0003438042,0.0005275098,0.003113294,0.002996306,0.005340429,0.002173129,0.004561822,0.004376966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00194698,"about_ca_system_score_gemma":0.003428231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001280941,"about_ca_topic_score_gemma":0.00332722,"domain_scores_codex":[0.9992005,0.0002503043,0.00008943219,0.00009580566,0.0002810605,0.0000828766],"domain_scores_gemma":[0.9970624,0.001817072,0.0002162217,0.0001005848,0.0005246651,0.000279122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006361612,0.00004983838,0.0001720293,0.008768168,0.00003774915,0.0002489924,0.0001872432,0.000203368,0.0003970525,0.0366934,0.1424067,0.8107719],"study_design_scores_gemma":[0.000007193373,0.00001488543,0.0001838675,0.004420356,0.00002005869,0.0007246063,0.00009007358,0.00002890529,0.00007991744,0.005274326,0.9891443,0.00001157448],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000493404,0.9923579,0.0003582172,0.003526324,0.001958898,0.000004093501,0.00001132445,0.00001569785,0.00171819],"genre_scores_gemma":[0.001109379,0.9912526,0.0009462205,0.002867666,0.001808158,0.00001089749,0.0000247436,0.000008417203,0.00197191],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01056434,"threshold_uncertainty_score":0.0353412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06474400325281138,"score_gpt":0.4214236968989922,"score_spread":0.3566796936461809,"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."}}