{"id":"W4303411333","doi":"10.2144/btn-2022-0102","title":"Biohacking the Food Chain: Using CRISPR to Combat the Global Food Crisis","year":2022,"lang":"en","type":"article","venue":"BioTechniques","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Oncolytics Biotech (Canada)","funders":"","keywords":"CRISPR; Food waste; Global population; Population; Climate change; Key (lock); Business; Food chain; Biotechnology; Natural resource economics; Biology; Ecology; Environmental health; Economics; Gene; Genetics; Medicine","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":[0.0008094538,0.001492876,0.001311062,0.000684826,0.0006781475,0.003328845,0.001355669,0.002833851,0.01856246],"category_scores_gemma":[0.002154274,0.0003891414,0.0008230151,0.0006523171,0.002224437,0.002648597,0.001290553,0.004420722,0.005600843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001596522,"about_ca_system_score_gemma":0.00121495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001240734,"about_ca_topic_score_gemma":0.00240356,"domain_scores_codex":[0.9995545,0.00007087265,0.00002428889,0.00006065378,0.0002015744,0.00008809568],"domain_scores_gemma":[0.9994031,0.0002368735,0.000101066,0.00003551748,0.00008643966,0.0001369194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006811415,0.0001785359,0.0006037565,0.003806575,0.0002482214,0.001179573,0.0002399133,0.008643656,0.1574104,0.1353644,0.249795,0.4418488],"study_design_scores_gemma":[0.0003324455,0.0009523891,0.001475136,0.0007451198,0.0002349169,0.001626808,0.0004704869,0.01574732,0.1101721,0.05942177,0.8086115,0.0002100422],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.04311544,0.3207501,0.2046101,0.2199948,0.06783397,0.0005373688,0.00234703,0.01300529,0.127806],"genre_scores_gemma":[0.416737,0.3540762,0.114805,0.05024702,0.008946389,0.0005106573,0.001607036,0.001103394,0.05196738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01856246,"threshold_uncertainty_score":0.06209761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01852342215723277,"score_gpt":0.3160576890853818,"score_spread":0.2975342669281491,"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."}}