{"id":"W4376608015","doi":"10.1007/978-3-031-32296-9_12","title":"The Iterated Local Transitivity Model for Tournaments","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Transitive relation; Iterated function; Tournament; Computer science; Generative model; Generative grammar; Graph; Theoretical computer science; Artificial intelligence; Mathematical economics; Mathematics; Combinatorics","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":[0.001809621,0.0007007178,0.001689446,0.001033927,0.001307735,0.00427386,0.003058587,0.001953066,0.01385379],"category_scores_gemma":[0.008048036,0.0006874114,0.001650642,0.001244973,0.003121797,0.004860051,0.001613431,0.00328205,0.001002583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002483592,"about_ca_system_score_gemma":0.001032176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003374341,"about_ca_topic_score_gemma":0.003104916,"domain_scores_codex":[0.9990726,0.0003709782,0.00003217014,0.0001812338,0.0001371685,0.0002058446],"domain_scores_gemma":[0.9951363,0.002976158,0.0005839454,0.0004576434,0.0002953528,0.0005506237],"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":[0.00005336086,0.0000408685,0.0003277242,0.00005929926,0.00003346356,0.0001169384,0.000178968,0.04000966,0.0004992253,0.9535938,0.00192473,0.00316197],"study_design_scores_gemma":[0.00003088818,0.00003035269,0.0001975459,0.00001784475,0.00001834226,0.00006432979,0.00005888441,0.2146625,0.0001022371,0.7836396,0.001159313,0.00001826648],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2708677,0.001107002,0.635158,0.002299815,0.0001970614,0.0001440505,0.000700082,0.0005275367,0.08899879],"genre_scores_gemma":[0.9535117,0.00060483,0.01282658,0.0001605646,0.0001962335,0.0001690922,0.0002803652,0.0001321085,0.03211853],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01385379,"threshold_uncertainty_score":0.04634553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0227167863133305,"score_gpt":0.2724438188482939,"score_spread":0.2497270325349634,"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."}}