{"id":"W4398193787","doi":"10.1016/j.jcyt.2024.03.272","title":"ANALYSIS OF COLD CHAIN PROCESSES FOR INVESTIGATIONAL CELL THERAPY PRODUCT SHIPMENTS AND TRANSPORT BASED ON REAL-WORLD TEMPERATURE DATA","year":2024,"lang":"en","type":"article","venue":"Cytotherapy","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Cold chain; Product (mathematics); Chain (unit); Business; Chemistry; Food science; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005354403,0.0004712146,0.0002948334,0.001429454,0.0002906817,0.0008094932,0.0003223385,0.0004385691,0.001276622],"category_scores_gemma":[0.0009160265,0.000258372,0.0005543375,0.001346894,0.0002621178,0.0007407943,0.0002450609,0.0003099437,0.0004983425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006076301,"about_ca_system_score_gemma":0.0004303004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006740203,"about_ca_topic_score_gemma":0.00678933,"domain_scores_codex":[0.9997072,0.00002780251,0.00002056584,0.00007417185,0.0001316206,0.00003866967],"domain_scores_gemma":[0.9993448,0.0002265106,0.000125744,0.00007464949,0.0002017742,0.00002641255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001676118,0.0003201252,0.2082115,0.0004061695,0.0002320145,0.0005532802,0.00030042,0.568299,0.1272679,0.001202658,0.001612564,0.08991827],"study_design_scores_gemma":[0.00001937626,0.0003010619,0.2198788,0.00001889987,0.0001008476,0.0001530447,0.0002544947,0.7037662,0.07233689,0.0004787108,0.002644797,0.00004680927],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976855,0.000249703,0.01889178,0.00004012516,0.00001534497,0.00005143713,0.001651698,0.0003546161,0.001890232],"genre_scores_gemma":[0.9942325,0.0001255944,0.003881924,0.000003718164,0.000003123773,0.00001750168,0.001244154,0.00004006708,0.0004514522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006740203,"threshold_uncertainty_score":0.01340199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03305209589579943,"score_gpt":0.2677494794032511,"score_spread":0.2346973835074516,"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."}}