{"id":"W2017999844","doi":"10.1007/s10878-013-9613-0","title":"Algorithms for local similarity between forests","year":2013,"lang":"en","type":"article","venue":"Journal of Combinatorial Optimization","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Prime (order theory); Similarity (geometry); Combinatorics; Tree (set theory); Theory of computation; Mathematics; Order (exchange); Computer science; Algorithm; Artificial intelligence; Image (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003434489,0.000100794,0.0001834215,0.00004566034,0.00006489509,0.00004284454,0.0001657756,0.0001824653,0.00003470858],"category_scores_gemma":[0.0002021822,0.00008842789,0.0001283934,0.00005334037,0.00002731519,0.00001898022,0.00002739948,0.00006349168,0.000001988368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001890004,"about_ca_system_score_gemma":0.00007407087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004117313,"about_ca_topic_score_gemma":1.994648e-7,"domain_scores_codex":[0.999189,0.00005985589,0.0003392166,0.0001060954,0.0001664295,0.0001394687],"domain_scores_gemma":[0.9989477,0.00003758589,0.000297342,0.0001167038,0.0005089814,0.00009168459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002144318,0.001237793,0.01090216,0.0002585524,0.001419815,0.00001177811,0.0002660819,0.4935603,0.2520956,0.01045176,0.05279999,0.1748517],"study_design_scores_gemma":[0.008893008,0.006278771,0.002067447,0.0001011225,0.0002610569,0.0000455792,0.0001249192,0.03182432,0.8631374,0.06639203,0.02006676,0.000807565],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02741854,0.0001110022,0.9705572,0.0002407071,0.001263201,0.0003117239,0.000005224902,0.000004109172,0.00008826263],"genre_scores_gemma":[0.9171801,0.00004101127,0.08104309,0.00005184775,0.001565076,0.000018225,0.00003329638,0.00002198859,0.00004531804],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8897616,"threshold_uncertainty_score":0.3605984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01408122384291483,"score_gpt":0.2582894242161091,"score_spread":0.2442082003731943,"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."}}