{"id":"W4393038518","doi":"10.1007/978-981-99-9338-3_2","title":"Navigating the Path from Lab to Market: Regulatory Challenges and Opportunities for Genome Editing Technologies for Agriculture","year":2024,"lang":"en","type":"book-chapter","venue":"Interdisciplinary biotechnological advances","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Campbell Scientific (Canada)","funders":"","keywords":"Path (computing); Genome editing; Agriculture; Genome; Business; Computational biology; Biotechnology; Computer science; Biology; Gene; Genetics; Computer network; Ecology","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":[0.001467424,0.0005727807,0.0005679081,0.0005697859,0.0008865724,0.0060197,0.00130163,0.002669177,0.01871033],"category_scores_gemma":[0.00113521,0.0003211642,0.0004262394,0.0009488103,0.002395597,0.007829404,0.001401594,0.004519687,0.005791636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002278891,"about_ca_system_score_gemma":0.002443483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001243325,"about_ca_topic_score_gemma":0.003641953,"domain_scores_codex":[0.9994822,0.00009900711,0.00001398395,0.00009016608,0.0002607771,0.00005392922],"domain_scores_gemma":[0.9994179,0.0003915081,0.00002556408,0.00003119885,0.00006849867,0.00006530271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008047779,0.00009537707,0.00009124948,0.0006895224,0.000009495646,0.0002120968,0.0005458317,0.0009584635,0.02071727,0.5041564,0.1572491,0.3151947],"study_design_scores_gemma":[0.000005327714,0.00003547691,0.00008206689,0.0001894894,0.000003748172,0.0001426262,0.0002963326,0.0003866653,0.002984471,0.09576771,0.9000925,0.00001342781],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.005996851,0.3608949,0.05638497,0.1079986,0.009695519,0.00008883572,0.0003099832,0.0008043319,0.4578261],"genre_scores_gemma":[0.0602199,0.321858,0.06637929,0.03166934,0.003714059,0.0002169778,0.0004593114,0.001009439,0.5144736],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01871033,"threshold_uncertainty_score":0.06259233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02041953627463787,"score_gpt":0.2987922666261658,"score_spread":0.2783727303515279,"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."}}