{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001823333,0.001551883,0.001400918,0.005438257,0.001050743,0.001813382,0.001606609,0.001577592,0.03733832],"category_scores_gemma":[0.007208703,0.000505052,0.0009274491,0.008218803,0.000477029,0.0008219449,0.001224741,0.00149293,0.04258636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001213412,"about_ca_system_score_gemma":0.002418729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01404547,"about_ca_topic_score_gemma":0.02840008,"domain_scores_codex":[0.9983,0.0002367152,0.0003028883,0.0006362981,0.0003388082,0.0001853685],"domain_scores_gemma":[0.9956678,0.001834504,0.0005986184,0.0007006439,0.0009648809,0.0002335756],"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":[0.0008261995,0.0001243654,0.01580976,0.009715189,0.0003547988,0.0002589826,0.0002247873,0.001486091,0.00484884,0.001653524,0.9401762,0.02452113],"study_design_scores_gemma":[0.0002443983,0.00005119556,0.02110372,0.0009043243,0.0001749714,0.0001799513,0.000170809,0.0003963562,0.002286725,0.0013465,0.9730939,0.00004723657],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000430744,0.0001353187,0.0001270524,0.00002575563,0.000008707199,0.000008800598,0.9985601,0.0001758415,0.0005277601],"genre_scores_gemma":[0.0007708573,0.00009765752,0.0005782461,0.00003701154,0.000002392743,0.00006274154,0.9980699,0.00005095095,0.0003303084],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03733832,"threshold_uncertainty_score":0.1249091,"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."}}