{"id":"W4290769139","doi":"10.55900/nurkyhej","title":"Synergy of Novel Technologies in Food Drying and its Applications","year":2022,"lang":"en","type":"article","venue":"Proceedings of the 22nd International Drying Symposium on Drying Technology - IDS '22","topic":"Freezing and Crystallization Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science","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":[0.0002561105,0.0002251248,0.0002789079,0.00105142,0.0002220343,0.00003336961,0.001255794,0.0001759711,0.00001680108],"category_scores_gemma":[0.0002544243,0.0002227893,0.00006579205,0.001224532,0.0001879665,0.0002017033,0.000691018,0.0005432707,7.146693e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001841248,"about_ca_system_score_gemma":0.00002720445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000483082,"about_ca_topic_score_gemma":0.000001757055,"domain_scores_codex":[0.9984454,0.000004501449,0.0005328597,0.0003555381,0.0003958062,0.0002658924],"domain_scores_gemma":[0.999213,0.00008216553,0.0002809434,0.0001852578,0.0002182893,0.00002035996],"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":[0.00002278006,0.0001856104,0.004070767,0.0003425738,0.0001281179,3.506939e-7,0.000277368,0.01714452,0.7427169,0.2332496,0.0001309065,0.001730524],"study_design_scores_gemma":[0.001247526,0.0002764239,0.0001674351,0.0005020348,0.00004276052,0.00006680209,0.003078198,0.03311141,0.9324814,0.01945256,0.009025764,0.0005476791],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852837,0.0008806197,0.000510436,0.002840042,0.0003475309,0.0004764981,0.00007575173,0.001062511,0.008522915],"genre_scores_gemma":[0.998341,0.0002462447,0.0007114342,0.00002901706,0.00001968803,0.0004770982,0.000006005961,0.00004646456,0.0001230832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.213797,"threshold_uncertainty_score":0.9085083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008118168086629645,"score_gpt":0.2085548691042924,"score_spread":0.2004367010176627,"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."}}