{"id":"W7099809656","doi":"","title":"FOOD IRRADIATION BACKGROUNDER","year":2000,"lang":"en","type":"article","venue":"","topic":"Big Data and Digital Economy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food irradiation; Trichinella; Raw meat; Bacteria; Ripening; Shelf life; Food safety; Food processing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005551713,0.0008208566,0.0004775838,0.001234134,0.001540636,0.001640833,0.001283573,0.001560157,0.2561167],"category_scores_gemma":[0.001051409,0.0003758319,0.0004582447,0.001191469,0.0003433195,0.001268743,0.001678667,0.001541471,0.1267524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001131833,"about_ca_system_score_gemma":0.0009484035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001723621,"about_ca_topic_score_gemma":0.002822528,"domain_scores_codex":[0.9993477,0.00003389567,0.00001782926,0.0001542967,0.0003591809,0.00008700834],"domain_scores_gemma":[0.9991409,0.00006013686,0.00004942219,0.000132297,0.000469959,0.0001472408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009113981,0.0003554397,0.002339473,0.0007149145,0.00002090916,0.0004036429,0.0003510112,0.0002851505,0.0412913,0.01053105,0.5207703,0.4220254],"study_design_scores_gemma":[0.00002544403,0.0001776909,0.001812359,0.00006618058,0.00001160298,0.0002377706,0.00007432833,0.00009476658,0.01025646,0.000941876,0.9862817,0.00001981744],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02479228,0.004984745,0.01523255,0.006165062,0.00746612,0.0004954427,0.009958127,0.01071872,0.920187],"genre_scores_gemma":[0.05279319,0.00324709,0.008236625,0.003483136,0.0007832487,0.0002793286,0.008129936,0.001287387,0.9217601],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2561167,"threshold_uncertainty_score":0.8567955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02673377996656227,"score_gpt":0.2101720069650353,"score_spread":0.1834382269984731,"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."}}