{"id":"W238805470","doi":"10.5751/es-01243-100109","title":"Rethinking the Risk Management Process for Genetically Engineered Crop Varieties in Small-scale, Traditionally Based Agriculture","year":2005,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, Santa Barbara","keywords":"Crop management; Agriculture; Scale (ratio); Genetically modified crops; Process (computing); Risk management; Genetically engineered; Business; Agroforestry; Environmental resource management; Geography; Economics; Environmental science; Ecology; Computer science; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005539057,0.0001194593,0.0001265643,0.000005650123,0.0004224468,0.00004800737,0.0002385001,0.0002187268,0.0001192513],"category_scores_gemma":[0.00003565369,0.00004375622,0.00009364526,0.0001623339,0.000171745,0.00002759824,0.00004591071,0.00027621,0.000003810411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002895249,"about_ca_system_score_gemma":0.00001470629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009396626,"about_ca_topic_score_gemma":0.001047224,"domain_scores_codex":[0.9990023,0.00009380613,0.0001697652,0.0002849946,0.0001239727,0.0003250973],"domain_scores_gemma":[0.9993528,0.0004329737,0.00003595083,0.00004566781,0.00007069455,0.00006194347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001111591,0.00575171,0.1691533,0.001207537,0.001671618,0.0000453804,0.0510226,0.06572162,0.2480968,0.1165406,0.04408011,0.2955971],"study_design_scores_gemma":[0.0004393038,0.0001938445,0.9750095,0.000006063628,0.00002792374,0.000002808131,0.0006894655,0.004447185,0.001190836,0.01477923,0.003051922,0.0001619156],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895408,0.0001357139,0.0004224479,0.008841461,0.00003418566,0.0005626723,0.00003104186,0.00003000406,0.000401737],"genre_scores_gemma":[0.991128,0.0002029226,0.006952676,0.001133247,0.0001608389,0.0001725841,0.00003776822,0.000001440894,0.0002105217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8058562,"threshold_uncertainty_score":0.3249162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02033034386262362,"score_gpt":0.223372841664827,"score_spread":0.2030424978022034,"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."}}