{"id":"W3469504","doi":"","title":"Constructing families of highly similar but non-isomorphic tournaments.","year":2007,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"Scheduling and Timetabling Solutions","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Combinatorics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001462088,0.0004550338,0.0006937912,0.001261066,0.001501471,0.001984044,0.001784175,0.001175723,0.007764664],"category_scores_gemma":[0.01086053,0.0006966249,0.001388461,0.001781127,0.00109121,0.00232021,0.002010269,0.001336364,0.0006941913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009887184,"about_ca_system_score_gemma":0.0005722795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009628972,"about_ca_topic_score_gemma":0.001072643,"domain_scores_codex":[0.9985034,0.0005963823,0.00007594792,0.0003314448,0.0002538618,0.0002388733],"domain_scores_gemma":[0.9939846,0.003740427,0.0005410945,0.001085888,0.0002658747,0.0003821187],"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":[0.0005147564,0.0004255597,0.006924897,0.0003545351,0.0003236299,0.00106013,0.001101728,0.09031014,0.009538251,0.7258493,0.01313782,0.1504592],"study_design_scores_gemma":[0.0001685522,0.0002481916,0.002576,0.00007890924,0.0001511215,0.001305593,0.0005782366,0.1984062,0.004504411,0.7740973,0.0178301,0.00005540269],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4497156,0.0008830514,0.5018219,0.0007977363,0.0001808419,0.0002510091,0.0006357501,0.0006739555,0.04504008],"genre_scores_gemma":[0.8535826,0.0003541907,0.1357007,0.000207756,0.00007852853,0.0002179393,0.001280118,0.0001388149,0.008439397],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007764664,"threshold_uncertainty_score":0.02597541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05506777785164486,"score_gpt":0.338224176091208,"score_spread":0.2831563982395631,"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."}}