{"id":"W2294815481","doi":"10.1007/978-3-319-24282-8_3","title":"Discovery of Parameters for Animation of Midge Swarms","year":2015,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Swarming (honey bee); Animation; Midge; Software; Computer animation; Artificial intelligence; Swarm behaviour; Machine learning; Data mining; Ecology; Computer graphics (images); Biology; Programming language","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":[0.0005421317,0.0007409931,0.0007784045,0.0008871234,0.0004941638,0.001244236,0.001406213,0.001298818,0.00472944],"category_scores_gemma":[0.006174004,0.0007905411,0.0005709278,0.00050369,0.0006725367,0.001223153,0.001480349,0.001499832,0.000892622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005020718,"about_ca_system_score_gemma":0.0002669371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009184136,"about_ca_topic_score_gemma":0.001119322,"domain_scores_codex":[0.9998529,0.00003915398,0.00001207279,0.00003519097,0.00004519865,0.00001547597],"domain_scores_gemma":[0.9987894,0.0007357733,0.00007865932,0.0001935579,0.0001136323,0.00008903804],"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":[0.0002700958,0.00007450415,0.001977853,0.0002926836,0.00007940658,0.0002288978,0.0006883502,0.674585,0.04086243,0.09721925,0.005814512,0.1779069],"study_design_scores_gemma":[0.00001308042,0.000007848856,0.0001027567,0.00001284815,0.000004968638,0.00002740936,0.00001681484,0.9842368,0.001415142,0.01280693,0.001348322,0.000007144475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03793779,0.0003353737,0.9535657,0.0001844209,0.00008434115,0.00005854584,0.0001476825,0.001644503,0.006041607],"genre_scores_gemma":[0.5460829,0.0003989187,0.4484298,0.00006454666,0.00004813147,0.0001450115,0.0004653516,0.001209035,0.003156285],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00472944,"threshold_uncertainty_score":0.01582158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05302356734730417,"score_gpt":0.2619744279651541,"score_spread":0.20895086061785,"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."}}