{"id":"W2583274906","doi":"10.1016/j.bpj.2016.11.2478","title":"Responsive Web-Based Molecule Viewer for 3D Communication, Collaboration, and Virtual Reality","year":2017,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Autodesk (Canada)","funders":"","keywords":"Computer science; Laptop; Visualization; Virtual reality; Workflow; The Internet; Human–computer interaction; Multimedia; Presentation (obstetrics); Pipeline (software); Augmented reality; World Wide Web; Artificial intelligence","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":["metaresearch","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004340406,0.00009816575,0.0001923843,0.0001133528,0.001944473,0.002852091,0.001176149,0.00003662716,0.00003791617],"category_scores_gemma":[0.008935825,0.00007132905,0.00007727904,0.0002088969,0.0003340159,0.0004292495,0.0003608619,0.0001208851,0.00004612907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003426172,"about_ca_system_score_gemma":0.0001895586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001112792,"about_ca_topic_score_gemma":0.00002399128,"domain_scores_codex":[0.9978986,0.000313851,0.0004433409,0.0003640867,0.000777761,0.0002023444],"domain_scores_gemma":[0.9955841,0.0009566745,0.000528698,0.001552631,0.001190208,0.0001876544],"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":[0.0006688837,0.0004225837,0.001661687,0.000008712001,0.00006278884,0.00001377845,0.0006555468,0.0004637478,0.03177057,0.02429512,0.8098606,0.1301159],"study_design_scores_gemma":[0.003307147,0.0004308452,0.07171401,0.00007354334,0.0000625227,0.00001076193,0.00107499,0.19816,0.002823965,0.01585208,0.7060592,0.0004309188],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8019951,0.00008751787,0.1555883,0.03712608,0.001853797,0.0006087618,0.0002967231,0.00005537952,0.002388376],"genre_scores_gemma":[0.9921763,0.00001350417,0.00641236,0.000437485,0.0002035034,0.000007575945,0.00001120856,0.000005980064,0.0007320606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1976963,"threshold_uncertainty_score":0.9994124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1050613340102363,"score_gpt":0.4131599681637426,"score_spread":0.3080986341535064,"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."}}