{"id":"W2166498111","doi":"10.22004/ag.econ.34292","title":"STREAMLINING THE RISK ANALYSIS PROCESS AND ENSURING THE OPTIMAL ORGANIZATIONS FOR FOOD SAFETY: THE CASE APPLICATION TO BIOTECHNOLOGY OF FUSARIUM SPECIES","year":2003,"lang":"en","type":"article","venue":"The International Food and Agribusiness Management Review","topic":"Mycotoxins in Agriculture and Food","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Fusarium; Mycotoxin; Fusarium solani; Food safety; Biotechnology; Food security; Business; Process (computing); Risk analysis (engineering); Biology; Agriculture; Computer science; Food science; Ecology; Microbiology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000647767,0.0001182633,0.0001627553,0.00001689695,0.0005823453,0.00007406679,0.0004271512,0.00002909171,0.00002532545],"category_scores_gemma":[0.0001198418,0.000025487,0.00006410854,0.000905967,0.0000815957,0.0000452465,0.0001621576,0.00007885086,9.683699e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008176222,"about_ca_system_score_gemma":0.000002236744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002196267,"about_ca_topic_score_gemma":0.0004419113,"domain_scores_codex":[0.9992139,0.00006470068,0.0002549816,0.0002029099,0.0001419849,0.0001215605],"domain_scores_gemma":[0.9992551,0.0002543325,0.0001631692,0.0001217692,0.0001889681,0.00001664341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007845648,0.0003574401,0.003513478,0.0009251662,0.005577315,0.000005908206,0.0012009,0.003370053,0.006241036,0.5849773,0.001446444,0.3923065],"study_design_scores_gemma":[0.0005939906,0.0007069217,0.06487139,0.0006042414,0.006370408,0.0003307938,0.01148989,0.001258306,0.01066087,0.00755943,0.894753,0.0008007049],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8518022,0.01756287,0.008799213,0.115623,0.0001875994,0.00418615,0.0004893581,0.00006214115,0.001287489],"genre_scores_gemma":[0.9873654,0.01170783,0.00007030005,0.0004828405,0.00007953453,0.0001622726,0.00006138393,0.000001155366,0.00006932037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8933066,"threshold_uncertainty_score":0.4478988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066536129847645,"score_gpt":0.228172941054276,"score_spread":0.2175075797557996,"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."}}