{"id":"W4416543514","doi":"10.1080/07373937.2025.2590977","title":"The 2 <sup>nd</sup> Annual Meeting of the International Research Association for Drying Science and Technology (IRADSTM)","year":2025,"lang":"en","type":"article","venue":"Drying Technology","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Association (psychology); Science, technology and society","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.003477868,0.00008632126,0.0001317113,0.0001994936,0.001817509,0.00008995937,0.001272928,0.0002432966,0.000001057424],"category_scores_gemma":[0.007476169,0.00003414031,0.00003836079,0.002447804,0.0008200892,0.00008222245,0.000832602,0.0003931767,9.655248e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001775455,"about_ca_system_score_gemma":0.00008549773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008604635,"about_ca_topic_score_gemma":0.0001374975,"domain_scores_codex":[0.9984583,0.0000482153,0.0002597801,0.00034793,0.0004276581,0.0004580981],"domain_scores_gemma":[0.9977086,0.0008801465,0.0001419128,0.0001436325,0.00110736,0.00001830987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002860338,0.00004136422,0.03092027,0.00001458079,0.00004614728,3.795113e-7,0.0002407445,0.00008869109,0.4858218,0.1067758,0.001758693,0.3742629],"study_design_scores_gemma":[0.001150787,0.00061405,0.008472902,0.0007423654,0.00006571537,0.00001986881,0.02980021,0.04784499,0.3861583,0.2432017,0.2813311,0.0005980154],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9449766,0.0004714916,0.00001085564,0.05285352,0.0002425958,0.0002911643,0.00001386762,0.0001325712,0.001007389],"genre_scores_gemma":[0.9988834,0.00005192064,0.0002766696,0.00007386436,0.00005163142,0.00006777032,0.00000146693,0.000001180261,0.000592083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3736649,"threshold_uncertainty_score":0.999482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02606211574738886,"score_gpt":0.2980385814639395,"score_spread":0.2719764657165506,"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."}}