{"id":"W2165990686","doi":"","title":"Measuring the population-level consequences of predator-induced prey movement","year":2008,"lang":"en","type":"article","venue":"Evolutionary ecology research","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Predation; Predator; Trophic level; Biology; Ecology; Interspecific competition; Population; Resource (disambiguation); Abundance (ecology); Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001143784,0.00007999294,0.0001308225,0.00007370034,0.001199273,0.000002934053,0.0003251708,0.00009375062,0.001205746],"category_scores_gemma":[0.0004362373,0.00006172324,0.00003854696,0.0003142914,0.001606308,0.0001316471,0.0003533632,0.000273684,0.0002524069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002760224,"about_ca_system_score_gemma":0.00008492239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005195805,"about_ca_topic_score_gemma":0.002263025,"domain_scores_codex":[0.998211,0.0004909656,0.0002565089,0.0002501127,0.0004492916,0.0003421167],"domain_scores_gemma":[0.9989401,0.000635335,0.0000779832,0.0002175111,0.00008443645,0.00004470612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002133582,0.00009413144,0.9912342,0.000004424139,0.00003141778,0.000005670652,0.0003080337,0.001805215,0.0014766,0.002215573,0.002760832,0.00004249724],"study_design_scores_gemma":[0.000163697,0.0001236243,0.9893029,0.000003219047,0.000003630598,0.00001769282,0.0001626236,0.001174751,0.0002635852,0.008664016,0.00006042475,0.00005986788],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905553,0.00008640412,0.00002184088,0.001756641,0.0001289297,0.0003726889,0.000009367777,0.00001559338,0.007053243],"genre_scores_gemma":[0.9972846,0.00007242725,0.000454793,0.00008873235,0.000024306,0.000129864,0.00000878067,0.000005311234,0.001931207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006729287,"threshold_uncertainty_score":0.9997073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1323966025793122,"score_gpt":0.328301682473796,"score_spread":0.1959050798944837,"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."}}