{"id":"W6929742458","doi":"10.5061/dryad.qbzkh18p5","title":"Social interactions generate complex selection patterns in virtual worlds","year":2024,"lang":"en","type":"dataset","venue":"DRYAD","topic":"Reliability and Agreement in Measurement","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Mitacs; European Commission","keywords":"Selection (genetic algorithm); Natural selection; Natural (archaeology); Social relation; Variation (astronomy); Inclusive fitness; Mechanism (biology)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002518581,0.0002968467,0.0004522154,0.0007417783,0.0002237467,0.0006961878,0.000818064,0.0001987635,0.005860622],"category_scores_gemma":[0.0003899309,0.0002382656,0.0002296423,0.001093278,0.00006559087,0.0001973019,0.000255204,0.0009243719,0.01039685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003421197,"about_ca_system_score_gemma":0.0001233498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004355599,"about_ca_topic_score_gemma":0.01702441,"domain_scores_codex":[0.9955444,0.0004925255,0.001009508,0.0008345559,0.001784492,0.0003345098],"domain_scores_gemma":[0.998704,0.0003360728,0.0002502334,0.000453419,0.0001841425,0.00007214212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001777657,0.000145953,0.0004010168,0.00002101816,0.00003040801,0.000011795,0.0001208091,0.0001655835,0.00007710289,0.00003976814,0.9932144,0.00575441],"study_design_scores_gemma":[0.0001504983,0.00005568207,0.002265046,0.00006676678,0.00003260327,0.000002781207,0.0002090076,0.0006754784,0.00002252189,0.001527765,0.994743,0.000248786],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00522548,0.00003184873,0.0002247571,0.002144689,0.003293481,0.000336516,0.9883021,0.00004183225,0.000399293],"genre_scores_gemma":[0.02512307,0.00006400363,0.00003533148,0.0008655769,0.002086892,0.0001236196,0.9681665,0.00002299217,0.003512057],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02013565,"threshold_uncertainty_score":0.9950482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2379732638707709,"score_gpt":0.4434277590926073,"score_spread":0.2054544952218364,"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."}}