{"id":"W3177406927","doi":"10.21926/obm.genet.2003115","title":"Breeding “CRISPR” Crops<a class=\"tippyShow\" data-tippy-interactive=\"true\" data-tippy-arrow=\"true\" data-tippy-theme=\"light-border\" style=\"cursor:pointer\" data-tippy-content=\"<p style=text-indent:0in;>In loving memory of my beloved wife, Jean Georges.</p>\"><sup>1</sup></a>","year":2020,"lang":"en","type":"article","venue":"OBM Genetics","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Quest University Canada","funders":"","keywords":"Food security; Face (sociological concept); CRISPR; Argument (complex analysis); Environmental ethics; Economic shortage; Humanity; Risk analysis (engineering); Computer science; Law and economics; Business; Political science; Sociology; Agriculture; Law; Ecology; Social science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007942849,0.0006267091,0.0005248522,0.0006911373,0.0008849031,0.002509171,0.001362639,0.001147822,0.1476419],"category_scores_gemma":[0.001894684,0.0005269405,0.0007190285,0.000844059,0.0008366952,0.001922958,0.001559109,0.002199031,0.09331372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007906262,"about_ca_system_score_gemma":0.000796788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002084379,"about_ca_topic_score_gemma":0.003315543,"domain_scores_codex":[0.9995758,0.00006771353,0.00003175758,0.0001225867,0.0001537814,0.00004821698],"domain_scores_gemma":[0.9988201,0.0004379252,0.00008729177,0.0003412703,0.0001821192,0.0001311704],"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":[0.0002531456,0.0001122673,0.0009838273,0.0008615658,0.00004416055,0.0004680005,0.0006447884,0.0008245349,0.1545626,0.03359774,0.5984852,0.2091621],"study_design_scores_gemma":[0.00002708448,0.00009057923,0.001569727,0.00007208891,0.00002472801,0.0004168139,0.00016606,0.0008975271,0.05221339,0.004359638,0.9401199,0.00004235585],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02105087,0.00241588,0.2981429,0.02005641,0.009968984,0.0007678092,0.03385223,0.1218884,0.4918565],"genre_scores_gemma":[0.123165,0.005316856,0.1529861,0.009865962,0.001060934,0.0009269592,0.03127807,0.04150601,0.6338941],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1476419,"threshold_uncertainty_score":0.4939112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03361825767792399,"score_gpt":0.3015865270747126,"score_spread":0.2679682693967886,"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."}}