{"id":"W4255339429","doi":"10.1007/978-3-030-06212-5_11","title":"Conclusions and Future Directions","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Emphasis (telecommunications); Stability (learning theory); Subject (documents); Computer science; Control (management); Control theory (sociology); Telecommunications; Artificial intelligence; Library science; Machine learning","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":[0.008123291,0.001031426,0.001013144,0.002031174,0.002721727,0.009911789,0.003361283,0.004792542,0.1634301],"category_scores_gemma":[0.01298044,0.0003079195,0.001029031,0.002506649,0.002856927,0.01107309,0.003487916,0.004212527,0.03831317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004654567,"about_ca_system_score_gemma":0.01313863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007512127,"about_ca_topic_score_gemma":0.01130685,"domain_scores_codex":[0.9967793,0.001168425,0.0001388539,0.0005042771,0.0007975597,0.0006116529],"domain_scores_gemma":[0.9905614,0.002490916,0.000263036,0.0005663904,0.004551071,0.001567089],"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":[0.0002303314,0.0001926385,0.0006853471,0.001439269,0.0000282572,0.0001716035,0.0006992894,0.0005424764,0.0002901062,0.2959633,0.4791883,0.220569],"study_design_scores_gemma":[0.00003681464,0.00004274216,0.0005489837,0.002158602,0.00003642157,0.0001254305,0.004643983,0.0003170654,0.0002782696,0.1984624,0.7933263,0.00002308497],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.002725874,0.1083375,0.0104669,0.5084988,0.04421948,0.0002265544,0.001935579,0.0004764481,0.3231128],"genre_scores_gemma":[0.06172305,0.2140147,0.02683236,0.1779816,0.02048521,0.0009338568,0.00445828,0.0004354737,0.4931355],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1634301,"threshold_uncertainty_score":0.5467281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01244694134584347,"score_gpt":0.2624564289292436,"score_spread":0.2500094875834002,"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."}}