{"id":"W1981036232","doi":"10.1016/j.ifset.2009.10.007","title":"Possibilities for an in vitro meat production system","year":2009,"lang":"en","type":"article","venue":"Innovative Food Science & Emerging Technologies","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":336,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Universiteit Utrecht; University of Georgia; Medical University of South Carolina","keywords":"Scope (computer science); Meat packing industry; Production (economics); Biotechnology; Business; Food science; Biochemical engineering; Biology; Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006054692,0.000662794,0.0004633326,0.0002312618,0.0004231199,0.0009727922,0.0007585349,0.0008984691,0.004421591],"category_scores_gemma":[0.0003729511,0.0003001247,0.0009585196,0.0001479788,0.0003405408,0.0006667236,0.0007985465,0.0009380651,0.001915057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002899689,"about_ca_system_score_gemma":0.0002110378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004056979,"about_ca_topic_score_gemma":0.0005211955,"domain_scores_codex":[0.9996885,0.0001202277,0.00002637194,0.00007237675,0.00005899646,0.00003357317],"domain_scores_gemma":[0.999584,0.0001511352,0.0000516794,0.00008361574,0.00005743062,0.00007205261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001499351,0.00008916788,0.0002626492,0.00009393373,0.00001346998,0.0001014177,0.00003098297,0.0005263928,0.9950776,0.0004800906,0.0001422714,0.003032095],"study_design_scores_gemma":[0.00002874167,0.0007060458,0.001541951,0.0000335499,0.00009518065,0.0002787076,0.00009558353,0.002845166,0.9813434,0.0005078677,0.0125008,0.0000228855],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7371674,0.004960379,0.2286133,0.001612027,0.001304758,0.0005045884,0.002836837,0.002049946,0.02095077],"genre_scores_gemma":[0.8569392,0.00280597,0.1196045,0.0005300837,0.0001459658,0.0005813641,0.003633434,0.0002288119,0.01553063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004421591,"threshold_uncertainty_score":0.01479173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01854470344879887,"score_gpt":0.2712124517470622,"score_spread":0.2526677482982633,"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."}}