{"id":"W2064083552","doi":"10.5779/hypothesis.v4i1.47","title":"Technology vs. Evolution","year":2008,"lang":"en","type":"article","venue":"Hypothesis","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002163179,0.00004586313,0.0000636028,0.00009714032,0.0008068192,0.000006417967,0.0001213909,0.0000965194,0.000475433],"category_scores_gemma":[0.0003050551,0.00004734267,0.00002831111,0.0003797793,0.0003529403,0.0001512867,0.00001133128,0.00005473245,0.000600639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001004525,"about_ca_system_score_gemma":0.0001208673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001183717,"about_ca_topic_score_gemma":0.0001267943,"domain_scores_codex":[0.9993951,0.0001136126,0.00007894321,0.0001113052,0.0001406365,0.000160437],"domain_scores_gemma":[0.9997,0.00006946316,0.0000254693,0.0001100924,0.00005975279,0.00003521044],"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":[0.00003121073,0.00007409802,0.02232355,0.000001883765,0.00001036078,0.00001003881,0.002606392,0.00002294847,0.001225552,0.960235,0.003964343,0.0094946],"study_design_scores_gemma":[0.0005329095,0.0001747299,0.1142577,0.00002659275,0.00003466881,0.00006129571,0.00543177,0.0001171224,0.003690687,0.3665166,0.5085772,0.0005786997],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8946176,0.00030037,0.001539063,0.00518848,0.0001518474,0.0001221548,0.000001849248,0.000319719,0.0977589],"genre_scores_gemma":[0.9910046,0.000139706,0.0007746947,0.0001220685,0.000150788,0.0000160319,5.980233e-7,0.00000474661,0.007786739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5937184,"threshold_uncertainty_score":0.7720199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03043863401576346,"score_gpt":0.2490977608178278,"score_spread":0.2186591268020643,"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."}}