{"id":"W3166397516","doi":"10.1098/rstb.2020.0336","title":"An ecological approach to measuring synchronization abilities across the animal kingdom","year":2021,"lang":"en","type":"review","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Biotechnology and Biological Sciences Research Council; Max-Planck-Gesellschaft","keywords":"Synchronization (alternating current); Context (archaeology); Perspective (graphical); Flexibility (engineering); Synchronizing; Ecology; Rhythm; Cognitive psychology; Adaptation (eye); Biology; Cognitive science; Computer science; Neuroscience; Psychology; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.001434532,0.0004335856,0.0009586315,0.00002488544,0.0023506,0.0002558229,0.002089567,0.000519213,0.00007059128],"category_scores_gemma":[0.00071632,0.0001862666,0.001472859,0.001633678,0.002759174,0.0001321578,0.0001997214,0.00096282,0.000006462563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001574692,"about_ca_system_score_gemma":0.0001522367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002630463,"about_ca_topic_score_gemma":0.000002009525,"domain_scores_codex":[0.9954523,0.001298609,0.0006926713,0.001208412,0.000742171,0.0006058437],"domain_scores_gemma":[0.9975346,0.001399456,0.0002913526,0.000524629,0.00008510659,0.0001648471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001042711,0.01232644,0.0001814826,0.005591665,0.0004404686,0.000008736268,0.001902565,0.07879434,0.00209882,0.1434634,0.0001637069,0.7549241],"study_design_scores_gemma":[0.002358135,0.01845537,0.003141873,0.01223745,0.00365574,0.000840162,0.004312902,0.4050883,0.00237858,0.09687326,0.4385481,0.01211016],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.05045837,0.8316769,0.0744708,0.0208376,0.005274945,0.01096046,0.001485973,0.001072195,0.003762751],"genre_scores_gemma":[0.7470146,0.250948,0.0006196015,0.0007163023,0.000400826,0.0002284463,0.000009757097,0.00002307047,0.0000394157],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.7428139,"threshold_uncertainty_score":0.9999548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2027715627173353,"score_gpt":0.3513544086086117,"score_spread":0.1485828458912764,"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."}}