{"id":"W3101650989","doi":"","title":"Graphene electronic structure in charge density waves","year":2017,"lang":"en","type":"article","venue":"Lanzhou University Institutional Repository","topic":"Graphene research and applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Manitoba; Winnipeg Institute for Theoretical Physics","funders":"","keywords":"Graphene; Charge (physics); Charge density; Condensed matter physics; Charge density wave; Electronic structure; Materials science; Physics; Nanotechnology; Quantum mechanics; Superconductivity","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0001120072,0.00009280663,0.0001109074,0.0001040565,0.001684278,0.00008663902,0.0005570265,0.00007290507,0.00007710667],"category_scores_gemma":[0.00003402458,0.00009478333,0.00005408687,0.00008671403,0.0004291807,0.0003996968,0.0001471119,0.0001830688,0.00005100663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002067031,"about_ca_system_score_gemma":0.0003434097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001085814,"about_ca_topic_score_gemma":0.0008155617,"domain_scores_codex":[0.9990353,0.00004429628,0.00008813901,0.0002695486,0.0002501786,0.0003125195],"domain_scores_gemma":[0.9992935,0.00001970517,0.00008078363,0.0004270737,0.00007467438,0.0001042402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006791789,0.00008213871,0.03462453,0.00001345229,0.00001255635,0.0001887499,0.00006398074,0.00004231951,0.5960948,0.3683567,0.0002932387,0.0001596032],"study_design_scores_gemma":[0.001275706,0.00006140678,0.6550362,0.00004959722,0.00002286888,0.0001335373,0.000122818,0.0002283405,0.2870421,0.009757658,0.04587382,0.0003960001],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891984,0.00005247901,0.0002331195,0.0002719961,0.0001422232,0.0001170552,0.00004167871,0.00004183126,0.009901141],"genre_scores_gemma":[0.9987845,0.00003585626,0.0001680223,0.0000248956,0.0000726787,9.028575e-7,0.00001541715,0.000003251917,0.000894427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6204116,"threshold_uncertainty_score":0.9996154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009387164082405646,"score_gpt":0.2266583541116783,"score_spread":0.2172711900292726,"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."}}