{"id":"W6948291645","doi":"10.5061/dryad.pg4f4qrpf","title":"Variable strength of predator-mediated effects on species occurrence in an arctic terrestrial vertebrate community","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Université Laval; Université du Québec à Rimouski","funders":"","keywords":"Predation; Trophic level; Habitat; Food web; Vertebrate; Herbivore; Predator; Competition (biology); Arctic","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001102549,0.0002460967,0.0003301802,0.0004652304,0.0007451287,0.001375562,0.004672343,0.0001116491,0.001260387],"category_scores_gemma":[0.001609748,0.0002596829,0.00004199099,0.00123131,0.0001182722,0.0007894608,0.004171206,0.0008967664,0.001019598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001283677,"about_ca_system_score_gemma":0.00001814157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000146798,"about_ca_topic_score_gemma":0.00000785852,"domain_scores_codex":[0.9963406,0.001790413,0.0003752917,0.0005438321,0.0005706552,0.0003791472],"domain_scores_gemma":[0.9973614,0.0001780349,0.0002386609,0.00184114,0.0002342099,0.000146606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003202459,0.0005610884,0.000002172098,0.0003325827,0.00003559597,0.0000431086,0.0001354525,0.00002094086,0.00007055603,0.0004554843,0.9855379,0.01277308],"study_design_scores_gemma":[0.0007786854,0.0006177042,0.0002293451,0.0002876527,0.00001644666,0.000005534253,0.00005831868,0.001386838,0.0001132695,0.00007590674,0.9961758,0.0002544967],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001208977,0.00002851162,0.001606698,0.00007821038,0.0006285572,0.0006354435,0.9934976,0.0003097801,0.002006239],"genre_scores_gemma":[0.002254352,0.0001134803,0.0004634972,0.000073626,0.0001142483,1.039978e-7,0.9967561,0.0001812434,0.00004331836],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01251858,"threshold_uncertainty_score":0.9999855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04049301970020597,"score_gpt":0.2524051740059981,"score_spread":0.2119121543057921,"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."}}