{"id":"W1513451372","doi":"","title":"WHAT MICROWAVE SPECTROSCOPY TELLS US ABOUT THE BENZENE DIMER","year":2007,"lang":"en","type":"article","venue":"The Knowledge Bank (The Ohio State University)","topic":"Molecular Junctions and Nanostructures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Research council; Political science; Library science; Philosophy; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002957983,0.0002261153,0.0001477691,0.0001524404,0.0005114796,0.0001088125,0.0006368977,0.00006823432,0.0001545863],"category_scores_gemma":[0.000008041435,0.0001288742,0.0001363141,0.0006840816,0.0002004376,0.000166204,0.0001291575,0.0003715737,0.0002838835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001307308,"about_ca_system_score_gemma":0.00002916563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000214636,"about_ca_topic_score_gemma":0.0006090007,"domain_scores_codex":[0.9990211,0.00008724463,0.0001448228,0.0001876349,0.0001264011,0.000432795],"domain_scores_gemma":[0.9990622,0.00016483,0.00004307778,0.0005896211,0.00006963998,0.0000705964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004825999,0.0002104929,0.0005033783,0.0001393425,0.00174345,0.0003138811,0.02447493,0.01186571,0.7748024,0.03467116,0.03990295,0.1108897],"study_design_scores_gemma":[0.0004704267,0.00004227821,0.004356761,0.00003909046,0.0001630373,0.00002570951,0.001003786,0.0006882217,0.1891144,0.0006646093,0.803107,0.0003246708],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8285562,0.005875676,0.02314504,0.0004203125,0.002948655,0.0006650585,0.00001394768,0.0002980071,0.1380771],"genre_scores_gemma":[0.9805789,0.002114597,0.0001715927,0.0001265596,0.0002307956,7.680412e-7,0.000007104333,0.00005446242,0.0167152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.763204,"threshold_uncertainty_score":0.5255339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00675791182175316,"score_gpt":0.1975530254191296,"score_spread":0.1907951135973765,"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."}}