{"id":"W2600390700","doi":"10.46298/dmtcs.3087","title":"Computing Tutte Polynomials","year":2012,"lang":"fr","type":"article","venue":"Discrete Mathematics & Theoretical Computer Science","topic":"Markov Chains and Monte Carlo Methods","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Humanities; Tutte polynomial; Combinatorics; Maple; Mathematics; Graph; Art; Botany; Line graph","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.01385182,0.0008493578,0.001255648,0.0003296373,0.0009883578,0.0007904447,0.002044612,0.0003491173,0.0005929492],"category_scores_gemma":[0.001895873,0.0007317603,0.0004995377,0.001286366,0.007748425,0.0009132235,0.002248302,0.0007935885,0.00004144267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002660606,"about_ca_system_score_gemma":0.0002324142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009605249,"about_ca_topic_score_gemma":9.799295e-7,"domain_scores_codex":[0.992296,0.0006885261,0.001529032,0.0009583892,0.001634658,0.002893327],"domain_scores_gemma":[0.9923837,0.003356499,0.0005809059,0.00179371,0.0004093605,0.001475882],"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":[0.00001004848,0.000555512,0.00007504384,0.0007179008,0.00005797494,0.0000135708,0.009388312,0.00001836568,0.0007934242,0.9649237,0.001098847,0.02234731],"study_design_scores_gemma":[0.000795051,0.0003143595,0.00005932731,0.001674481,0.0004225771,0.0004518872,0.001167264,0.67142,0.006247325,0.3101813,0.005551883,0.001714527],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04399599,0.001678356,0.901667,0.002118733,0.005959578,0.0007686454,0.00003947715,0.0002109789,0.04356125],"genre_scores_gemma":[0.4370292,0.00003282963,0.5599989,0.0004631628,0.001762216,0.000008291532,0.000002795405,0.0000794158,0.0006231799],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6714016,"threshold_uncertainty_score":0.9995133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03727354755222738,"score_gpt":0.3360964384092605,"score_spread":0.2988228908570331,"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."}}