{"id":"W4403158980","doi":"10.1016/j.isci.2024.111105","title":"Search advantages for facing social groups reflect optimal interactive group sizes","year":2024,"lang":"en","type":"article","venue":"iScience","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; McGill University","funders":"Canada First Research Excellence Fund; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Group (periodic table); Computer science; Data science; Chemistry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001305867,0.00007568337,0.00008071951,0.00007691929,0.001438673,0.0002861291,0.0002473432,0.00004934533,0.0001207113],"category_scores_gemma":[0.0001787841,0.00006934015,0.00006316983,0.0004451305,0.0004726846,0.001192605,0.00004852527,0.0001315073,0.00005889178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001561125,"about_ca_system_score_gemma":0.0001897662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009077766,"about_ca_topic_score_gemma":0.0002010971,"domain_scores_codex":[0.9987794,0.0001768426,0.0001117207,0.0003028192,0.0003110794,0.0003181569],"domain_scores_gemma":[0.9993765,0.0004170309,0.00001856421,0.00005653458,0.00007827252,0.00005314093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008988642,0.00004513372,0.0001059546,0.00002795141,0.00001276784,0.000007541611,0.08279154,0.0002525476,0.03821984,0.8202488,0.0008844258,0.05731357],"study_design_scores_gemma":[0.001343269,0.002066232,0.007187317,0.0006205111,0.0001307858,0.000041574,0.3049961,0.06663648,0.02536182,0.1589258,0.4302966,0.002393494],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8850664,0.0008680173,0.0804188,0.004363054,0.001297612,0.000520741,0.00003647062,0.0003172039,0.02711166],"genre_scores_gemma":[0.9956005,0.00003635757,0.001104868,0.00008732551,0.0005314589,0.00004044096,0.000005342489,0.000006467062,0.002587256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.661323,"threshold_uncertainty_score":0.9998613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0346182427257918,"score_gpt":0.3931091259975344,"score_spread":0.3584908832717427,"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."}}