{"id":"W2108097756","doi":"10.1016/j.ecolmodel.2009.08.022","title":"Incorporating behaviour into simple models of dispersal using the biological control agent Dicyphus hesperus","year":2009,"lang":"en","type":"article","venue":"Ecological Modelling","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor; Agriculture and Agri-Food Canada; University of British Columbia; Simon Fraser University","funders":"","keywords":"Biological dispersal; Random walk; Simple (philosophy); Movement (music); Ecology; Biological system; Computer science; Mathematics; Biology; Statistics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003770123,0.0002070027,0.0003767794,0.000009386998,0.0005652282,0.00004520106,0.0003293896,0.0001553894,0.00005706289],"category_scores_gemma":[0.00004792235,0.00006176277,0.0001818565,0.0001917982,0.0001656482,0.0001102516,0.00008846885,0.0002098013,0.000003714343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003826855,"about_ca_system_score_gemma":0.000006348382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002622587,"about_ca_topic_score_gemma":0.0002241409,"domain_scores_codex":[0.9985521,0.0001257231,0.0004019405,0.0003360585,0.0002058634,0.000378332],"domain_scores_gemma":[0.9992545,0.0003670269,0.0001811138,0.00003688557,0.0000716896,0.00008884423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003773187,0.001110295,0.09624555,0.00000778873,0.00007924833,0.00007220467,0.0005546956,0.4311056,0.4340685,0.02078444,0.00007310938,0.01552125],"study_design_scores_gemma":[0.0003075584,0.001240065,0.07655232,0.00002161307,0.00004829538,0.00001083206,0.0005974864,0.870657,0.0007551372,0.04932877,0.00009703512,0.0003838807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993376,0.000327461,0.005029545,0.0006167947,0.00003136981,0.0002516404,0.000028146,0.00006294017,0.0002761169],"genre_scores_gemma":[0.9986515,0.00006545281,0.0006972196,0.0003637548,0.0001961094,0.000007653598,0.00001144215,8.557461e-7,0.000005992057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4395514,"threshold_uncertainty_score":0.4347335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1213217063776937,"score_gpt":0.2521761874729807,"score_spread":0.1308544810952869,"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."}}