{"id":"W1966378047","doi":"10.1098/rsbl.2014.0287","title":"The interactive effects of competition and predation risk on dispersal in an insect","year":2014,"lang":"en","type":"article","venue":"Biology Letters","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Biological dispersal; Biology; Predation; Intraspecific competition; Ecology; Mesocosm; Competition (biology); Context (archaeology); Density dependence; Ecosystem; Population","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":[0.0001081236,0.00003906788,0.00005879513,0.000004369063,0.00007692569,0.000006105219,0.000041684,0.00002141109,0.000001194793],"category_scores_gemma":[0.00006673786,0.00001154206,0.00001082585,0.00002797413,0.00007495093,0.00002596726,0.00001455675,0.00004611912,0.000001324433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004356017,"about_ca_system_score_gemma":2.297253e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001740856,"about_ca_topic_score_gemma":0.002575686,"domain_scores_codex":[0.9996002,0.000182132,0.00005086321,0.00008386942,0.00001811357,0.00006477956],"domain_scores_gemma":[0.9992043,0.0007340543,0.00003977101,0.00000807453,0.000004868092,0.000008929712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00007277511,0.00001717411,0.2826022,0.000001519509,0.000004646717,1.982608e-7,0.00008126807,4.681194e-7,0.6908954,0.0007405015,0.00002400158,0.02555986],"study_design_scores_gemma":[0.00007284623,0.0004495018,0.9960427,0.00001061904,0.000002313571,2.717054e-7,0.0000390118,0.0000869082,0.002694059,0.0001245641,0.0004459858,0.00003118783],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988351,0.00002312013,0.000004071641,0.0009787221,0.00003669623,0.00005843075,0.000006747154,0.000005843218,0.00005123534],"genre_scores_gemma":[0.9996443,0.00005446875,0.000002876742,0.0002268935,0.00005411699,0.000004451763,0.00001182998,1.400647e-7,8.690562e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7134406,"threshold_uncertainty_score":0.1437293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01330295655215909,"score_gpt":0.2023036831421047,"score_spread":0.1890007265899456,"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."}}