{"id":"W6929582934","doi":"10.5061/dryad.866t1g1pp","title":"DNA sequences of transgenes detected via environmental DNA (raw ABI files, processed FASTA files, and reference alignments)","year":2021,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Polymer-Based Agricultural Enhancements","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Environmental DNA; Transgene; DNA; DNA sequencing; Genetically modified organism; Invertebrate; Vertebrate; Genetically modified crops; Genetic diversity","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008127039,0.0005081686,0.0005708804,0.00006562991,0.00007590596,0.000145348,0.0008067721,0.0002992062,0.006885278],"category_scores_gemma":[0.000009017254,0.0004351811,0.00005479949,0.0001604219,0.0001111716,0.0003410867,0.0002059703,0.0002598841,0.0001041263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001094807,"about_ca_system_score_gemma":0.00006839792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002002601,"about_ca_topic_score_gemma":0.0004617544,"domain_scores_codex":[0.9980292,0.00005601917,0.0005259771,0.0006040082,0.0004046838,0.0003801462],"domain_scores_gemma":[0.9991866,0.00005049536,0.000184937,0.0004141197,0.00001590267,0.000147902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002624314,0.00012121,0.000006191015,0.0004095224,0.0002362368,0.000048083,0.00009826125,0.0001175385,0.8535537,4.457658e-8,0.1230921,0.02229082],"study_design_scores_gemma":[0.0004781996,0.00008291069,0.0001581371,0.0004057644,0.0001413787,0.00001605419,0.0001673402,0.00004853402,0.7187341,0.000001428555,0.2791996,0.0005665527],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1611884,0.001377154,0.00001498557,0.000005929414,0.0001103014,0.0005308779,0.8366562,0.000006137185,0.0001100321],"genre_scores_gemma":[0.08780939,0.001117963,0.0004913055,0.00001078228,0.0000459306,0.0001181378,0.9101309,0.00002924748,0.0002464087],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1561075,"threshold_uncertainty_score":0.99981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01907132708547661,"score_gpt":0.2334694468583648,"score_spread":0.2143981197728882,"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."}}