{"id":"W4393301980","doi":"10.15353/cfs-rcea.v11i1.635","title":"Producing protein","year":2024,"lang":"en","type":"article","venue":"Canadian Food Studies / La Revue canadienne des études sur l alimentation","topic":"Animal Genetics and Reproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.000295985,0.0001874183,0.0001406729,0.0001462804,0.0002266104,0.00007219809,0.0001059772,0.0000885545,0.000009093157],"category_scores_gemma":[0.0001174368,0.0001917151,0.00007166966,0.0002350047,0.0001353499,0.00001297967,0.00003675544,0.00008594093,0.000009448036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003670219,"about_ca_system_score_gemma":0.0002737373,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01720909,"about_ca_topic_score_gemma":0.7261732,"domain_scores_codex":[0.9986723,0.00005401777,0.0002052392,0.0005897134,0.00005308054,0.0004256195],"domain_scores_gemma":[0.999254,0.000009412757,0.0000388111,0.0002509868,0.0001947272,0.0002521032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005588153,0.00004221977,0.001312038,0.001131636,0.001871129,0.000133406,0.01287014,0.0004531225,0.9401684,0.009556227,0.004149924,0.02825583],"study_design_scores_gemma":[0.0007372788,0.003205685,0.01808319,0.0009925982,0.0003628409,0.0004156895,0.0115466,0.0002214088,0.2368665,0.001506553,0.724449,0.001612609],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839479,0.01356483,0.00003995789,0.0007852007,0.000419898,0.0004127253,0.00004735074,0.00002724382,0.0007548975],"genre_scores_gemma":[0.9958718,0.0004278863,0.0003034999,0.0001085228,0.0004758438,0.000127127,0.0001142832,0.00004336733,0.002527637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7202991,"threshold_uncertainty_score":0.9893354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0298259521257844,"score_gpt":0.249218726799863,"score_spread":0.2193927746740786,"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."}}