{"id":"W1976329487","doi":"10.1007/s13197-011-0381-5","title":"Development of meat-bone separator for small scale fish processing","year":2011,"lang":"en","type":"article","venue":"Journal of Food Science and Technology","topic":"Aquaculture Nutrition and Growth","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Indian Council of Agricultural Research","keywords":"Drum; Animal science; Tilapia; Fish processing; Oreochromis mossambicus; Fishery; Materials science; Environmental science; Mathematics; Pulp and paper industry; Fish <Actinopterygii>; Biology; Engineering; Mechanical 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":[0.0003673366,0.0004256985,0.0004182987,0.0003773324,0.0005238625,0.0003340709,0.0007598943,0.0005736319,0.002682598],"category_scores_gemma":[0.0002543343,0.0002946957,0.000414533,0.000261208,0.0002352663,0.0005753513,0.0004587837,0.0004527679,0.00113469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002376577,"about_ca_system_score_gemma":0.0008789158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006987352,"about_ca_topic_score_gemma":0.001974318,"domain_scores_codex":[0.9998193,0.00001194952,0.00001357699,0.0000545078,0.00008391809,0.00001674438],"domain_scores_gemma":[0.9997877,0.00004201857,0.00003047342,0.00002031579,0.00009002495,0.0000294271],"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":[0.00007961933,0.00004859227,0.0006749158,0.0001059903,0.000007375015,0.00006247652,0.00002776824,0.0001362107,0.9866007,0.0001854476,0.0002295177,0.01184135],"study_design_scores_gemma":[0.0000255045,0.0003268106,0.002582079,0.000009223104,0.00003246168,0.0003461169,0.00003744185,0.003546959,0.9864954,0.00006132628,0.006522021,0.00001463193],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7109092,0.002366525,0.2773132,0.0004889906,0.000368816,0.0004212513,0.0005437612,0.001563256,0.006024966],"genre_scores_gemma":[0.6389692,0.001327621,0.3423348,0.0002272036,0.00009341275,0.0003543603,0.0008383097,0.0001433837,0.0157117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002682598,"threshold_uncertainty_score":0.008974195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04409315471692341,"score_gpt":0.239227009810057,"score_spread":0.1951338550931336,"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."}}