{"id":"W2114181979","doi":"10.1038/428611a","title":"Cooperate with thy neighbour?","year":2004,"lang":"en","type":"letter","venue":"Nature","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Enhanced Data Rates for GSM Evolution; Population; Evolutionary biology; Computer science; Biology; Artificial intelligence; Demography; Sociology","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":[0.004146692,0.0004350496,0.001092477,0.000380581,0.004913284,0.003950016,0.001352824,0.04006133,0.008753701],"category_scores_gemma":[0.01957445,0.0003342378,0.0006438847,0.0003393692,0.004814055,0.005268686,0.002110759,0.03162453,0.004934048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002727415,"about_ca_system_score_gemma":0.002654252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003661432,"about_ca_topic_score_gemma":0.009250372,"domain_scores_codex":[0.9980754,0.0007560934,0.00007842908,0.0002397169,0.0004292377,0.0004211758],"domain_scores_gemma":[0.9945562,0.003093957,0.0003318612,0.0003002574,0.0005343915,0.001183387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005635318,0.00004368662,0.001296624,0.00004796719,0.00003776388,0.001739201,0.000996589,0.0001028059,0.0001616528,0.1027334,0.8718054,0.0209786],"study_design_scores_gemma":[0.00008452684,0.00003526601,0.00143338,0.0002097211,0.00004269247,0.003755706,0.002847343,0.0007344285,0.00022388,0.182004,0.8085818,0.00004722941],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001129609,0.0009969262,0.0003694601,0.9725059,0.006207521,0.000006881811,0.00001390665,0.00001036912,0.01875942],"genre_scores_gemma":[0.02904523,0.0008886931,0.0002525007,0.9240071,0.00852265,0.00003361962,0.00001453198,0.00001507316,0.03722055],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04006133,"threshold_uncertainty_score":0.029284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00743277233019279,"score_gpt":0.2630651188349896,"score_spread":0.2556323465047968,"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."}}