{"id":"W4413466218","doi":"10.1016/j.foodres.2025.117339","title":"Biofabricated bacterial cellulose microcarriers for cultured meat applications","year":2025,"lang":"en","type":"article","venue":"Food Research International","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China; Good Food Institute","keywords":"Microcarrier; Bacterial cellulose; Cellulose; Chemistry; Food science; Biotechnology; Microbiology; Biochemistry; Biology; Cell","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":[0.0001415656,0.0002581344,0.0001141631,0.0001989631,0.0001492476,0.0003624808,0.0002134044,0.0003692748,0.0009492704],"category_scores_gemma":[0.0001987879,0.0001120831,0.0001794297,0.0002041798,0.0001303077,0.0002517774,0.0002511008,0.000389821,0.0003637782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004820474,"about_ca_system_score_gemma":0.000187774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001532657,"about_ca_topic_score_gemma":0.00274247,"domain_scores_codex":[0.9999158,0.000007139688,0.000005787816,0.00002014086,0.00003245245,0.00001865019],"domain_scores_gemma":[0.9999056,0.0000230071,0.00002499203,0.00001034222,0.00002034494,0.00001566666],"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":[0.00001487201,0.000005417194,0.00004278887,0.00002030395,0.000001552989,0.00002199889,0.00001331687,0.0001017591,0.9977701,0.0000587544,0.00002888342,0.001920264],"study_design_scores_gemma":[0.000002139967,0.00003583171,0.0004169114,0.000004248785,0.000004046477,0.00002447358,0.00001641072,0.000482149,0.9973693,0.00001474479,0.001626896,0.000002857574],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750762,0.004103792,0.01604205,0.0001647167,0.0001632668,0.00004533383,0.0003693005,0.0002184876,0.003816752],"genre_scores_gemma":[0.9735174,0.001952127,0.01836884,0.00006022564,0.00001615975,0.00004968329,0.0002610316,0.00003930673,0.005735243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001532657,"threshold_uncertainty_score":0.003497541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02440584277108891,"score_gpt":0.3388179802043021,"score_spread":0.3144121374332132,"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."}}