{"id":"W2067136511","doi":"10.1016/j.ecolmodel.2011.03.013","title":"A review of attraction and repulsion models of aggregation: Methods, findings and a discussion of model validation","year":2011,"lang":"en","type":"review","venue":"Ecological Modelling","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Context (archaeology); Aggregate (composite); Computer science; Attraction; Representation (politics); Data science; Perception; Data aggregator; Field (mathematics); Focus (optics); Sparrow; Artificial intelligence; Ecology; Econometrics; Epistemology; Mathematics; Geography; Nanotechnology; Physics; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0009974693,0.0002112218,0.001122051,0.00003313045,0.00007508652,0.000005856963,0.0001034737,0.0003378925,0.00003831106],"category_scores_gemma":[0.0000779168,0.00006689735,0.0002368795,0.0002299011,0.0001033854,0.0001774963,0.00009731775,0.0001860965,3.005037e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001811829,"about_ca_system_score_gemma":0.00001429563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002438875,"about_ca_topic_score_gemma":6.694945e-7,"domain_scores_codex":[0.9981636,0.0002550572,0.0008803147,0.0004538309,0.0001277075,0.000119492],"domain_scores_gemma":[0.9987483,0.0001635556,0.0008162707,0.00008334185,0.0001357866,0.00005275287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00001720235,0.0001329256,0.000009017549,0.01665651,0.00001468401,1.718297e-7,0.00003886347,0.0003332419,0.001127823,0.0002756551,0.00001767174,0.9813762],"study_design_scores_gemma":[0.0007968302,0.006457387,0.0008540631,0.5330476,0.01010672,0.0002987765,0.0003561624,0.2615884,0.004519309,0.06169823,0.1164838,0.003792698],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007106643,0.9874876,0.00457683,0.00003245279,0.00004142695,0.0006411971,0.00002241128,0.000015031,0.0000763909],"genre_scores_gemma":[0.005416861,0.9859071,0.008496756,0.000005423682,0.00002991675,0.00002757591,0.00006636013,0.000002122149,0.00004787038],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9775835,"threshold_uncertainty_score":0.2727995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2410638561871926,"score_gpt":0.3712188261444819,"score_spread":0.1301549699572892,"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."}}