{"id":"W1985171145","doi":"10.1080/01969720802069831","title":"INFLUENCE OF TEMPERATURE ON SWARMBOTS THAT LEARN","year":2008,"lang":"en","type":"article","venue":"Cybernetics & Systems","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ethogram; Ethology; Artificial intelligence; Computer science; Swarm behaviour; Cybernetics; Control (management); Swarm robotics; Duration (music); Machine learning; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001093367,0.0004427776,0.0005575784,0.0002313716,0.0005136364,0.0008850115,0.000670005,0.0008620067,0.001990772],"category_scores_gemma":[0.007626763,0.0002934257,0.0003910897,0.0001105062,0.00135523,0.001241955,0.001125488,0.0009561891,0.0002995915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005740875,"about_ca_system_score_gemma":0.0004847705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00141853,"about_ca_topic_score_gemma":0.001008405,"domain_scores_codex":[0.9996518,0.0001356401,0.00001532761,0.00007133036,0.00005882351,0.00006699136],"domain_scores_gemma":[0.9973334,0.001415427,0.0003960302,0.0002771813,0.0003013285,0.0002766919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003262299,0.000176874,0.008929873,0.0001180398,0.0001450649,0.0003739073,0.0005258931,0.8771305,0.01649804,0.05923818,0.001722554,0.03481488],"study_design_scores_gemma":[0.00003531749,0.0001450018,0.001957289,0.00001149583,0.00002625331,0.0000692136,0.00006893752,0.9535078,0.002152387,0.04094781,0.001060536,0.00001790918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.735604,0.0007033266,0.2331349,0.002364862,0.0002563184,0.00008600203,0.0000839057,0.000596272,0.02717041],"genre_scores_gemma":[0.9899036,0.0001324291,0.007189534,0.0001093683,0.00003122024,0.00003495375,0.00002486803,0.00004014011,0.002533947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001990772,"threshold_uncertainty_score":0.006659746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0170087101014544,"score_gpt":0.2303582216459071,"score_spread":0.2133495115444527,"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."}}