{"id":"W3107885531","doi":"10.1126/sciadv.aba3148","title":"Rapid evolution of coordinated and collective movement in response to artificial selection","year":2020,"lang":"en","type":"article","venue":"Science Advances","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Knut och Alice Wallenbergs Stiftelse; Svenska Forskningsrådet Formas","keywords":"Selection (genetic algorithm); Movement (music); Computer science; Cognitive science; Artificial intelligence; Biology; Communication; Neuroscience; Evolutionary biology; Psychology; Physics","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":[0.0002542645,0.0001356875,0.0001099619,0.0002110748,0.0001928164,0.0004020387,0.0002022243,0.000265115,0.001394859],"category_scores_gemma":[0.0006607858,0.0001180494,0.000162337,0.0001269287,0.0002782805,0.0001576469,0.0005012447,0.0003645186,0.0002509699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002148552,"about_ca_system_score_gemma":0.00009856919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002353168,"about_ca_topic_score_gemma":0.0005252846,"domain_scores_codex":[0.9998428,0.00004414536,0.000007904153,0.00004611901,0.00003540903,0.00002373811],"domain_scores_gemma":[0.9996637,0.00005763119,0.0001161066,0.0000842033,0.00003036041,0.00004798707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001052711,0.00005230224,0.01582599,0.00004615145,0.00006498524,0.0001688926,0.0001268411,0.003385392,0.9550602,0.001363462,0.0003331558,0.02346736],"study_design_scores_gemma":[0.0001475931,0.001181479,0.6461316,0.00004977513,0.0001375168,0.002564188,0.000348549,0.1029111,0.2259324,0.005788128,0.01469853,0.0001091707],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928201,0.00006713195,0.005613655,0.00006609848,0.0000116036,0.000008518663,0.00004580927,0.00005594276,0.00131125],"genre_scores_gemma":[0.9964404,0.00003756359,0.002836192,0.0000391346,0.000005183362,0.000023128,0.00004047262,0.00001138657,0.0005666607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001394859,"threshold_uncertainty_score":0.004666269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01590260783936504,"score_gpt":0.2607331361356117,"score_spread":0.2448305282962467,"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."}}