{"id":"W6929546531","doi":"10.5061/dryad.rjdfn2zn0","title":"Ornithogenic alteration of a tundra ecosystem from decades of intense herbivory and dense nesting","year":2024,"lang":"en","type":"dataset","venue":"DRYAD","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Tundra; Ecosystem; Herbivore; Subarctic climate; Population; Trophic cascade; Trophic level; Plant community; Wader; Vegetation (pathology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006312711,0.0004515155,0.0009092013,0.0005499859,0.00005055984,0.00009652595,0.0003193737,0.0003901724,0.00008487982],"category_scores_gemma":[0.000541209,0.0004378578,0.0001580952,0.0004121407,0.000128566,0.0001530481,0.0003003082,0.0004967306,0.002263393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001256675,"about_ca_system_score_gemma":0.000212695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001221242,"about_ca_topic_score_gemma":0.004514602,"domain_scores_codex":[0.997278,0.0003391424,0.001013233,0.0006461781,0.0004489663,0.0002744653],"domain_scores_gemma":[0.9974628,0.0005542802,0.0007959181,0.0007908767,0.0002861708,0.0001099711],"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":[0.0001565109,0.00004396174,0.0002677259,0.004236,0.0004028646,0.0001526968,0.0004817277,0.00001394874,0.02052154,0.000005293312,0.9735879,0.0001298587],"study_design_scores_gemma":[0.002634171,0.0006387006,0.0013163,0.03588168,0.005764304,0.0007316868,0.002445755,0.003304209,0.01536245,0.001021101,0.9283772,0.002522471],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2721708,0.004993076,0.000004320282,0.000008090386,0.000353404,0.0002993691,0.7221093,0.00005601322,0.000005667816],"genre_scores_gemma":[0.09272081,0.0001034127,0.0003181142,0.00002077588,0.0002811202,0.0000362565,0.9063616,0.0001306271,0.00002723587],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1842524,"threshold_uncertainty_score":0.9998073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01662407291161575,"score_gpt":0.2678113409823385,"score_spread":0.2511872680707227,"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."}}