{"id":"W4205189521","doi":"10.2478/ebtj-2019-0006","title":"Future Biotechnology","year":2019,"lang":"en","type":"article","venue":"The EuroBiotech Journal","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Biotechnology; Industrial biotechnology; Engineering ethics; Engineering; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002094813,0.0001017607,0.0000770542,0.00003735621,0.0000843852,0.00002805847,0.0003497084,0.0001580721,0.0000782896],"category_scores_gemma":[0.00001551406,0.00006749666,0.00007759579,0.00008425864,0.00003498396,0.000001530436,0.0001004439,0.000352211,0.0001062301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006051352,"about_ca_system_score_gemma":0.0000238059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.51047e-7,"about_ca_topic_score_gemma":0.000001199515,"domain_scores_codex":[0.9994312,0.00002894459,0.0001205901,0.0001361638,0.0000765289,0.0002065732],"domain_scores_gemma":[0.9995371,0.000004257583,0.00004519567,0.0003458145,0.00002649541,0.00004119509],"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":[0.00001582448,0.000008203839,0.00009678557,0.000003126358,0.00002510307,0.000003343428,0.00001880043,0.0003557814,0.9898407,0.0001544812,0.004331683,0.005146109],"study_design_scores_gemma":[0.0002543553,0.0001642068,0.000802761,0.000005747067,0.000007603089,0.0009134798,0.00009465311,0.00003844571,0.5161251,0.00006546576,0.481419,0.0001091891],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778242,0.002584076,0.01170089,0.004846712,0.001388503,0.0001253634,0.000002788362,0.00002900651,0.001498448],"genre_scores_gemma":[0.9953411,0.001102759,0.0006428904,0.0003801317,0.001093569,0.000001057762,0.000003737201,0.00002240247,0.001412405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4770873,"threshold_uncertainty_score":0.2752434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003324636079971239,"score_gpt":0.2459993835798366,"score_spread":0.2426747474998653,"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."}}