{"id":"W7031549852","doi":"","title":"Introduction","year":2013,"lang":"en","type":"report","venue":"Deep Blue (University of Michigan)","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Government (linguistics); Work (physics); Subject (documents)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001384286,0.0009857255,0.0005689806,0.001896046,0.002494157,0.005031879,0.002215035,0.002051438,0.4502514],"category_scores_gemma":[0.005249107,0.0003029922,0.0005449085,0.00268596,0.0009142451,0.002760454,0.002227364,0.002001357,0.2675511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003928939,"about_ca_system_score_gemma":0.005507767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02692516,"about_ca_topic_score_gemma":0.0240711,"domain_scores_codex":[0.9983233,0.000156231,0.00007636071,0.0003565174,0.0008580788,0.0002295393],"domain_scores_gemma":[0.9974336,0.0003172955,0.00009467063,0.0002539362,0.001499892,0.0004006281],"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":[0.00003157324,0.00003480158,0.0004671558,0.0002066064,0.000003160739,0.00006512117,0.0004087442,0.0001246448,0.0002145464,0.04367586,0.8540612,0.1007066],"study_design_scores_gemma":[0.000001310702,0.000004902531,0.0002425134,0.00006196497,6.632736e-7,0.00003063793,0.00006842198,0.00001271975,0.000035122,0.001866001,0.9976726,0.000003186109],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001388746,0.005484215,0.005605472,0.01388442,0.00976697,0.000342146,0.01694834,0.001333945,0.9452459],"genre_scores_gemma":[0.008373418,0.005882105,0.004256874,0.00425156,0.002655169,0.0002472645,0.01243049,0.0005776853,0.9613255],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5497487,"threshold_uncertainty_score":0.7841497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01521694239127872,"score_gpt":0.2355006132524762,"score_spread":0.2202836708611975,"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."}}