{"id":"W2057616136","doi":"10.2135/cropsci2004.4560","title":"Legal Liability Issues in Agricultural Biotechnology","year":2004,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Agriculture","keywords":"Trespass; Tort; Plaintiff; Liability; Intellectual property; Patent infringement; Context (archaeology); Business; Law; Agricultural biotechnology; Legal liability; Strict liability; Law and economics; Economics; Agriculture; Political science; Biology","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":[0.0005480603,0.0001047824,0.0001209944,0.00003538256,0.0002558795,0.0001657037,0.000951177,0.0001028588,0.0001609748],"category_scores_gemma":[0.0003684102,0.00003619934,0.00003195333,0.001961959,0.001325128,0.0002424104,0.0003141836,0.0002114118,0.000192052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00013722,"about_ca_system_score_gemma":0.00006052433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001645941,"about_ca_topic_score_gemma":0.001450732,"domain_scores_codex":[0.9982609,0.0000287401,0.0001690206,0.000519163,0.0004391474,0.0005830099],"domain_scores_gemma":[0.9995953,0.00003544738,0.00002410098,0.0001097327,0.0001020082,0.0001333463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000002963835,0.00006648371,0.001376524,0.000001196242,3.227243e-7,0.00000630109,0.00004046099,0.00004249117,0.9799625,0.009328876,0.00001141487,0.009160481],"study_design_scores_gemma":[0.00007791186,0.0001446223,0.6039135,0.000005303597,4.669215e-7,0.00001163143,0.0001909085,0.000008882958,0.3905472,0.002997572,0.001994546,0.0001074004],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833385,0.00006565183,0.000006107099,0.01423219,0.00007827184,0.0001674268,0.000003108709,0.0000754364,0.002033353],"genre_scores_gemma":[0.9989578,0.00001406969,0.0007320453,0.00007870843,0.00005298954,0.000008008977,0.000001617607,3.959917e-7,0.0001544238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.602537,"threshold_uncertainty_score":0.4882491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0190518154275014,"score_gpt":0.2680486679033383,"score_spread":0.2489968524758369,"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."}}