{"id":"W2055523190","doi":"10.1063/1.3182849","title":"A selection rule for molecular conduction","year":2009,"lang":"en","type":"article","venue":"The Journal of Chemical Physics","topic":"Molecular Junctions and Nanostructures","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Bipartite graph; Vertex (graph theory); Combinatorics; Conductor; Physics; Thermal conduction; Graph; Selection (genetic algorithm); Mathematics; Computer science; Quantum mechanics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008321548,0.0002727682,0.0003448607,0.000963864,0.001043203,0.001280245,0.0005408062,0.00105037,0.00999002],"category_scores_gemma":[0.002545635,0.0002031525,0.0004054431,0.000397268,0.00113632,0.00206462,0.0007821833,0.001232683,0.002343018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003216475,"about_ca_system_score_gemma":0.0004032247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001782795,"about_ca_topic_score_gemma":0.0002259147,"domain_scores_codex":[0.9994203,0.0001115316,0.00004956905,0.0001081179,0.0002161966,0.00009427281],"domain_scores_gemma":[0.9988242,0.0005734902,0.0000789426,0.0001387775,0.0002563103,0.0001281821],"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":[0.00002786907,0.00002144918,0.0001206078,0.00004617139,0.000002936149,0.0002330429,0.00008476287,0.000742114,0.006655852,0.9813583,0.002349243,0.008357594],"study_design_scores_gemma":[0.00004671152,0.00006988329,0.0002602913,0.00004245287,0.000008106384,0.0006862264,0.00007200755,0.021583,0.007011408,0.9583048,0.01189093,0.00002415461],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2559966,0.001314017,0.3945157,0.003309315,0.0008913754,0.0002347085,0.0005569521,0.0007846034,0.3423967],"genre_scores_gemma":[0.9160202,0.0006747088,0.05204638,0.0007071876,0.0005188095,0.000256779,0.0002962619,0.0003234708,0.02915625],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00999002,"threshold_uncertainty_score":0.03341991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006133906321577679,"score_gpt":0.213516584285213,"score_spread":0.2073826779636353,"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."}}