{"id":"W3204812560","doi":"10.3390/ani11102874","title":"Environmental DNA as Novel Technology: Lessons in Agenda Setting and Framing in News Media","year":2021,"lang":"en","type":"article","venue":"Animals","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Ontario Genomics Institute; Genome Canada","keywords":"Framing (construction); Newspaper; Environmental DNA; Wildlife; Public relations; News media; Timeline; Political science; Public interest; Biobank; Perception; Environmental ethics; Environmental planning; Biodiversity; Biology; Ecology; Geography; Law","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001491143,0.0001633317,0.0001934418,0.00007684102,0.0001174317,0.00001797929,0.0001580315,0.0001250811,0.0006364732],"category_scores_gemma":[0.0000965064,0.000185464,0.00002721345,0.0002579379,0.0003759449,0.0001535585,0.001044354,0.000215759,0.0003618347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002718375,"about_ca_system_score_gemma":0.000003329951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002799924,"about_ca_topic_score_gemma":0.0009714448,"domain_scores_codex":[0.9986856,0.00003050506,0.0002061898,0.0005179666,0.0002107519,0.0003489958],"domain_scores_gemma":[0.9996281,0.00008118191,0.00005461954,0.0001848799,5.691131e-7,0.00005063412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003592037,0.000095118,0.7665961,0.000003026832,0.000005085922,0.0001280094,0.0009590149,0.00001139734,0.2260076,0.00003168668,0.00009088686,0.00606845],"study_design_scores_gemma":[0.0004639664,0.00003259298,0.964317,0.0000243466,0.000007454655,0.00002917894,0.007356321,0.0000179102,0.02393832,0.0002989719,0.003306723,0.0002071654],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953255,0.000519148,0.000006342414,0.001924614,0.00003400084,0.0001207775,0.00003041836,0.0000221405,0.002017073],"genre_scores_gemma":[0.9923506,0.0005235203,0.006624219,0.0003760619,0.000009378025,0.000009930947,0.000006340025,0.0000109972,0.00008890741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2020693,"threshold_uncertainty_score":0.7563003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01830487643931413,"score_gpt":0.2376940688657871,"score_spread":0.219389192426473,"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."}}