{"id":"W2548551707","doi":"10.1080/21645698.2016.1228516","title":"A critical assessment of regulatory triggers for products of biotechnology: Product vs. process","year":2016,"lang":"en","type":"review","venue":"GM crops & food","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agricultural biotechnology; Statute; Process (computing); European union; Biotechnology; Product (mathematics); Business; Politics; Agriculture; Risk analysis (engineering); Political science; International trade; Biology; Law; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008168412,0.0003929082,0.001559486,0.00008611031,0.000102514,0.00002950334,0.001020806,0.0005372647,0.0001172251],"category_scores_gemma":[0.001643263,0.0001348036,0.0003672429,0.0008150918,0.0007558108,0.00005906817,0.0002297653,0.0003278372,0.000009315278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007131501,"about_ca_system_score_gemma":0.0004632021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006654695,"about_ca_topic_score_gemma":0.000007045371,"domain_scores_codex":[0.9967117,0.0001955494,0.0009105888,0.0009608975,0.0006003237,0.000620981],"domain_scores_gemma":[0.9979115,0.000511575,0.0003861744,0.0003725161,0.0006948508,0.0001234583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002152039,0.0002834406,0.00000369429,0.01413472,0.0001091219,0.000001285993,0.00000728945,4.129417e-8,0.01708235,0.002379493,0.0002043623,0.9657727],"study_design_scores_gemma":[0.0003150961,0.004777192,0.0005506233,0.006267289,0.0004126063,0.00003768928,0.00003926531,0.000001064422,0.07737993,0.001564994,0.9079172,0.0007370331],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006515594,0.9860144,0.00002181841,0.002713821,0.0002043867,0.003584021,0.0007161472,0.00008717996,0.0001426572],"genre_scores_gemma":[0.07735355,0.9195206,0.001787699,0.00001323445,0.0004405132,0.0005910944,0.00008063192,0.00001534861,0.0001973483],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9650356,"threshold_uncertainty_score":0.5497131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06870792083368306,"score_gpt":0.3688816619450532,"score_spread":0.3001737411113701,"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."}}