{"id":"W2083115801","doi":"10.1007/s10910-010-9688-0","title":"Numerical characterization of DNA sequences: connectivity type indices derived from DNA line graphs","year":2010,"lang":"en","type":"article","venue":"Journal of Mathematical Chemistry","topic":"Fractal and DNA sequence analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Combinatorics; Mathematics; Mathematical chemistry; Sequence (biology); Line graph; Graph; Algorithm; Biology; Genetics","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":[0.0004585454,0.0002341684,0.000243122,0.004000231,0.0002892613,0.0009510529,0.00041786,0.0005034721,0.001071514],"category_scores_gemma":[0.006584642,0.0001684131,0.0001731858,0.001709343,0.000920579,0.001400068,0.0003619455,0.0005432148,0.0001631357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005567494,"about_ca_system_score_gemma":0.0002258083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003612463,"about_ca_topic_score_gemma":0.0004967398,"domain_scores_codex":[0.9997979,0.00005389298,0.00001388722,0.00003969463,0.00007569719,0.00001894591],"domain_scores_gemma":[0.9951132,0.002687956,0.0008445443,0.0003350971,0.0007030771,0.0003161304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002828288,0.0001203079,0.02163982,0.0002530418,0.00003591906,0.0003468898,0.0004893392,0.1894591,0.07405704,0.6270941,0.002920271,0.0833015],"study_design_scores_gemma":[0.00001303855,0.00007616292,0.007233597,0.00003806245,0.00001762245,0.0004798899,0.0001048404,0.8573411,0.01147306,0.1209789,0.002200198,0.00004361289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6003957,0.0005541882,0.3872722,0.0002877329,0.00004200881,0.00004986053,0.0005233755,0.0003471281,0.01052783],"genre_scores_gemma":[0.9545447,0.0002532908,0.04385626,0.0000333311,0.00005484897,0.00004527616,0.0003186036,0.00006080963,0.0008328898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004000231,"threshold_uncertainty_score":0.004039526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01021849576921788,"score_gpt":0.2465687690074766,"score_spread":0.2363502732382587,"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."}}