{"id":"W3094372258","doi":"10.3389/fgeed.2020.591592","title":"Regulatory Barriers to Innovative Plant Breeding in Canada","year":2020,"lang":"en","type":"article","venue":"Frontiers in Genome Editing","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Scrutiny; Novelty; Pace; Biotechnology; Plant breeding; Genome editing; Emerging technologies; Private sector; Business; Biology; Environmental resource management; Genome; Political science; Geography; Computer science; Economics; Gene; Genetics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001263319,0.0001217533,0.000153533,0.00007517185,0.00002978481,0.000008950072,0.0001587377,0.00005444694,0.000008671401],"category_scores_gemma":[0.0002616748,0.0001476611,0.00001622939,0.0003543363,0.00001255341,0.00000298304,0.00009308506,0.0001383504,5.690002e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001682168,"about_ca_system_score_gemma":0.0004217641,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01424592,"about_ca_topic_score_gemma":0.05717538,"domain_scores_codex":[0.9990393,0.00001539543,0.0002289674,0.0002909365,0.0001167782,0.0003086304],"domain_scores_gemma":[0.9996279,0.000004827675,0.00003491224,0.0001061283,0.00002734947,0.0001988526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009843629,0.000007070143,0.4509024,0.00008819805,0.00005880955,0.0001305133,0.002991875,0.0560094,0.432613,0.00001965333,0.05370134,0.003379231],"study_design_scores_gemma":[0.003783664,0.0006799771,0.2770924,0.0002905425,0.00002258045,0.00003336082,0.06394788,0.02032075,0.3695289,0.00005255683,0.2614855,0.002761977],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829037,0.0005417204,0.01429232,0.0004467531,0.001150269,0.0001606046,0.00004436472,0.000007651383,0.0004526472],"genre_scores_gemma":[0.9944088,0.00000987311,0.003759598,0.0009491611,0.0007805053,0.000013313,0.00004488724,0.00001974204,0.00001407423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2077841,"threshold_uncertainty_score":0.9923183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005278101311671412,"score_gpt":0.2125903660084607,"score_spread":0.2073122646967893,"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."}}