{"id":"W2883601832","doi":"10.7203/metode.9.11417","title":"Natural enemies and biodiversity: The double-edged sword of trophic interactions","year":2018,"lang":"en","type":"article","venue":"Mètode Revista de difusió de la investigació","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"SWORD; Trophic level; Biodiversity; Ecology; Natural (archaeology); Biology; Geography; Computer science; World Wide Web; Archaeology","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":[0.0002415797,0.0001198836,0.0001729632,0.00001283288,0.0004099965,0.0001134466,0.0001995398,0.00005231157,0.00004843184],"category_scores_gemma":[0.0001013835,0.00004304556,0.00006750284,0.0002065451,0.0007175258,0.00008314929,0.0001370881,0.0001614082,0.0000121711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002103322,"about_ca_system_score_gemma":0.00001016469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004320553,"about_ca_topic_score_gemma":0.0008590895,"domain_scores_codex":[0.9992827,0.0001095055,0.0001355275,0.0001625646,0.00009736472,0.0002123932],"domain_scores_gemma":[0.9994311,0.0003192764,0.00008391486,0.00003425036,0.0000578481,0.00007357063],"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":[0.0001497623,0.00004778595,0.2902359,0.0000404971,0.00007591958,0.00001065947,0.0008525626,4.82067e-7,0.6909882,0.005160916,0.006238148,0.006199209],"study_design_scores_gemma":[0.0002159598,0.0001462093,0.8588843,0.0001047612,0.00007709773,0.00006763671,0.0006027709,0.00009319041,0.007166712,0.00091729,0.1315082,0.0002158982],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955016,0.001365157,0.000001083395,0.001865148,0.00003299255,0.00008676753,0.00003409174,0.00003555726,0.001077589],"genre_scores_gemma":[0.9986627,0.0004862931,0.00007624852,0.0004338005,0.0001762313,0.000005209145,0.00000790428,6.07692e-7,0.0001509837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6838214,"threshold_uncertainty_score":0.3153403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03556984817730819,"score_gpt":0.2329598253280341,"score_spread":0.1973899771507259,"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."}}