{"id":"W4246480109","doi":"10.1002/wcms.1362","title":"Cover Image, Volume 8, Issue 2","year":2018,"lang":"en","type":"paratext","venue":"Wiley Interdisciplinary Reviews Computational Molecular Science","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"","keywords":"Cover (algebra); Image (mathematics); Volume (thermodynamics); Photodissociation; Environmental science; Computer science; Computer vision; Engineering; Chemistry; Physics; Mechanical engineering; Photochemistry","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002165856,0.0006654755,0.0008323637,0.000384501,0.000275165,0.0001980017,0.001955763,0.00028032,0.003033266],"category_scores_gemma":[0.0001570752,0.0006257143,0.0002914685,0.001283491,0.001861294,0.0004767715,0.001638673,0.0006947389,0.07939043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000498932,"about_ca_system_score_gemma":0.00006345182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.203509e-7,"about_ca_topic_score_gemma":1.776329e-7,"domain_scores_codex":[0.9966722,0.00004391524,0.0008462074,0.0009834785,0.0007526897,0.0007014762],"domain_scores_gemma":[0.9983043,0.00005775601,0.0002453202,0.0008465469,0.0003495181,0.0001965277],"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":[0.00000369206,0.00002266994,2.288892e-7,0.000343101,0.00002409194,0.00002606565,0.00005660547,0.06251169,0.02587017,0.00005206039,0.904072,0.007017617],"study_design_scores_gemma":[0.0001626559,0.0001269804,0.000007303628,0.001735858,0.00004061145,0.0001011121,0.00001948959,0.07494958,0.01771682,0.007165467,0.8968013,0.001172826],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003124603,0.05500488,0.594056,0.0008531524,0.007113712,0.001937716,0.0003284925,0.001140583,0.3364409],"genre_scores_gemma":[0.1448445,0.02833015,0.6319564,0.003014465,0.005368143,0.001742802,0.003718458,0.001469138,0.179556],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1568849,"threshold_uncertainty_score":0.9996194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0113216806485114,"score_gpt":0.3038045385147877,"score_spread":0.2924828578662763,"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."}}