{"id":"W3172085584","doi":"","title":"Géométrie des arbres récursifs pondérés et à attachement préférentiel affine","year":2019,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Stochastic processes and statistical mechanics","field":"Mathematics","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mathematics; Combinatorics; Tree (set theory); Sequence (biology); Vertex (graph theory); Affine transformation; Preferential attachment; Random tree; Connection (principal bundle); Discrete mathematics; Geometry; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002742987,0.0002325925,0.0003038716,0.00009196255,0.0001870417,0.0001750933,0.0005787517,0.0001053447,0.0009620904],"category_scores_gemma":[0.003964313,0.0002216231,0.0001084773,0.0003529397,0.0001154237,0.0001536138,0.0003280057,0.0002443151,0.0001639068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007371702,"about_ca_system_score_gemma":0.0001193297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001058782,"about_ca_topic_score_gemma":0.0002643153,"domain_scores_codex":[0.9974544,0.0008562906,0.0004232882,0.0004465544,0.0004344464,0.0003850315],"domain_scores_gemma":[0.9946914,0.002876566,0.0002366394,0.0009876945,0.001037837,0.0001698807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001694839,0.0005059062,0.0002834352,0.0002165583,0.00004427934,0.000002894781,0.002869963,0.000003082686,0.002422216,0.9782597,0.001960343,0.01341469],"study_design_scores_gemma":[0.002141713,0.000005831195,0.001224613,0.001980764,0.0001286798,0.00003286659,0.0005445893,0.02579493,0.06736149,0.882553,0.01741247,0.0008190211],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0938878,0.0003561726,0.8441656,0.003221601,0.0001627186,0.0004447132,0.00004963314,0.0002089302,0.05750289],"genre_scores_gemma":[0.7659196,0.00009161709,0.2067701,0.0001837609,0.00001807571,0.00005218987,0.00008786721,0.00005667207,0.02682007],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6720318,"threshold_uncertainty_score":0.9999512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02638901140437536,"score_gpt":0.2962807028538414,"score_spread":0.269891691449466,"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."}}