{"id":"W2109923723","doi":"10.1007/s00897010526a","title":"How to Recognize Disjoint Hydrocarbons: A H�ckel Theory Topic","year":2002,"lang":"en","type":"article","venue":"The Chemical Educator","topic":"Molecular spectroscopy and chirality","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Allison University","funders":"","keywords":"Antiaromaticity; Disjoint sets; Hückel method; Series (stratigraphy); Computational chemistry; Computer science; Chemistry; Mathematics; Geology; Combinatorics; Molecule; Molecular orbital; Organic chemistry; Aromaticity","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":[0.0008709934,0.0003780156,0.0005084216,0.001300369,0.001130151,0.002847813,0.001106878,0.001640086,0.009082496],"category_scores_gemma":[0.003885757,0.0003375009,0.0006161254,0.0008228822,0.002425681,0.009023003,0.001466849,0.001788653,0.003898571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006049129,"about_ca_system_score_gemma":0.0005929329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001250412,"about_ca_topic_score_gemma":0.001073987,"domain_scores_codex":[0.9995347,0.00009585972,0.00003596482,0.0001425587,0.0001327035,0.00005817648],"domain_scores_gemma":[0.9987722,0.0006223524,0.00006169862,0.0001881372,0.0002834736,0.0000720896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001282023,0.00006420581,0.001594228,0.0003441952,0.00003770489,0.0004201231,0.001158263,0.008153478,0.01830596,0.4006079,0.03624205,0.5329437],"study_design_scores_gemma":[0.00001544134,0.0000410352,0.0007718181,0.000121286,0.0000280118,0.0009254246,0.001149624,0.1276589,0.02075183,0.7912966,0.05715508,0.00008491493],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0454725,0.004527918,0.905187,0.008304647,0.001104257,0.00009104515,0.0002156518,0.001410825,0.03368611],"genre_scores_gemma":[0.5040411,0.005663874,0.4331879,0.001886687,0.001393708,0.0001311315,0.0006349193,0.0006406476,0.05242008],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009082496,"threshold_uncertainty_score":0.030384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01546657793905146,"score_gpt":0.239019822718005,"score_spread":0.2235532447789536,"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."}}