{"id":"W2300426713","doi":"10.1139/cjc-2015-0551","title":"Variants of the Szeged index in certain chemical nanosheets","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Chemistry","topic":"Graph theory and applications","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nanosheet; Molecular graph; Vertex (graph theory); Wiener index; Topological index; Molecule; Chemistry; Graph; Index (typography); Combinatorics; Mathematics; Computational chemistry; Organic chemistry; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005050532,0.0003338642,0.0002949287,0.002112921,0.0004650918,0.001218606,0.0005496701,0.0003910741,0.002729913],"category_scores_gemma":[0.001557612,0.0001460569,0.0004426248,0.001093099,0.001375011,0.002270492,0.0006833119,0.0006818326,0.0002998807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006009017,"about_ca_system_score_gemma":0.000295024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006494806,"about_ca_topic_score_gemma":0.0007122692,"domain_scores_codex":[0.99981,0.00003378858,0.00001555983,0.00003092432,0.00007438223,0.00003526425],"domain_scores_gemma":[0.9995677,0.0001674285,0.00007169986,0.00006034729,0.00007404299,0.00005882669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005040654,0.00001694844,0.0009452321,0.00004653722,0.00001395197,0.0001351894,0.00008373379,0.03083749,0.004549515,0.9554851,0.0006050564,0.007230816],"study_design_scores_gemma":[0.00001736666,0.00004571484,0.0019056,0.0000205736,0.00001388416,0.0001810904,0.0001143588,0.1998022,0.006358876,0.7877619,0.003740218,0.00003832125],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7064561,0.001012447,0.2435763,0.0003402055,0.0002267975,0.00007274216,0.000581724,0.0002671585,0.04746636],"genre_scores_gemma":[0.9638919,0.0004215689,0.0308994,0.00005189907,0.00006402846,0.00005006369,0.0002649556,0.00008682512,0.004269311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002729913,"threshold_uncertainty_score":0.009132504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01510008051043063,"score_gpt":0.2347124363047741,"score_spread":0.2196123557943435,"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."}}