{"id":"W6925454526","doi":"10.17630/3ceb4033-456e-49bf-b29c-c99314a1fa07","title":"Highly Ordered N-Heterocyclic Carbene Monolayers on Cu(111) (dataset)","year":2018,"lang":"en","type":"dataset","venue":"University of St Andrews","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Engineering and Physical Sciences Research Council","keywords":"Monolayer; Carbene; Feature (linguistics); Spectral line","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"],"consensus_categories":[],"category_scores_codex":[0.00009993934,0.0002561925,0.0003545337,0.0005735503,0.0003083763,0.00008449749,0.001425458,0.0002782942,0.00007786967],"category_scores_gemma":[0.00001195254,0.000280669,0.0001048365,0.0003745712,0.0002254253,0.0003992588,0.000346606,0.0003160512,0.0001702831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005641133,"about_ca_system_score_gemma":0.0001122071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001287155,"about_ca_topic_score_gemma":0.0004054348,"domain_scores_codex":[0.9986344,0.00006400116,0.0001758958,0.0005753833,0.0002829286,0.0002674161],"domain_scores_gemma":[0.9985812,0.00003303204,0.0003427106,0.0008281331,0.0001069985,0.0001078717],"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":[0.00003943609,0.00005146225,0.000003507254,0.00006599174,0.00004992008,0.00002943868,0.00005812303,0.000003058272,0.000040275,0.0000066856,0.9938701,0.005781937],"study_design_scores_gemma":[0.0005751112,0.0002242842,0.00001776102,0.0001322193,0.00006334328,0.00002006092,0.00005681716,0.0003630077,0.0002658378,0.00006150216,0.9979129,0.0003071227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00114501,0.00008208236,0.002334454,0.0001566906,0.0008565274,0.0001198646,0.9949708,0.00007054485,0.0002640519],"genre_scores_gemma":[0.0005225873,0.0007460751,0.004125928,0.0001211244,0.0001405252,2.07298e-7,0.9940573,0.000009713943,0.0002765158],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.005474814,"threshold_uncertainty_score":0.9999645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01129761844594576,"score_gpt":0.2098318339288355,"score_spread":0.1985342154828897,"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."}}