{"id":"W3094434252","doi":"10.1080/07373937.2020.1838166","title":"Sustainable drying technologies","year":2020,"lang":"en","type":"article","venue":"Drying Technology","topic":"Food Allergy and Anaphylaxis Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Environmental science; Business; Process engineering; Waste management; Materials science; Engineering","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":[0.0001078743,0.0001493755,0.0002937833,0.0004867691,0.0001914025,0.00002120325,0.0003368344,0.0003713305,0.00008523226],"category_scores_gemma":[0.002127322,0.0001347582,0.00007158365,0.001574076,0.0003266591,0.00007415788,0.0004392972,0.0007479582,0.000187065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005515293,"about_ca_system_score_gemma":0.00009773561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001299375,"about_ca_topic_score_gemma":0.000001871413,"domain_scores_codex":[0.998609,0.00001186842,0.0001866951,0.0003799064,0.0001963636,0.0006161318],"domain_scores_gemma":[0.9992319,0.00002987284,0.00004260064,0.0003776634,0.0002348567,0.00008304809],"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":[0.0006187685,0.0003862312,0.03251342,0.001379097,0.0004963967,0.004391314,0.0007431492,0.0000207441,0.1944799,0.3897945,0.0359812,0.3391953],"study_design_scores_gemma":[0.001634042,0.001665764,0.0003506,0.000104067,0.0000129212,0.00008787704,0.01614092,0.0005473678,0.1965441,0.01411795,0.7684087,0.0003856871],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7513924,0.004173995,0.000767711,0.2112505,0.0001049368,0.000742109,0.000002415991,0.008395031,0.02317087],"genre_scores_gemma":[0.9961806,0.0001474778,0.001790905,0.0005903004,0.00006621188,0.0000435393,0.000005010121,0.00002747488,0.001148466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7324275,"threshold_uncertainty_score":0.5495278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02581879479779913,"score_gpt":0.2915750614282881,"score_spread":0.265756266630489,"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."}}