{"id":"W6990687591","doi":"","title":"Economics of Producing a Value Added Seafood Product from Shrimp Waste in Quebec","year":2000,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shrimp; Product (mathematics); Value (mathematics); Flavour; By-product; Aroma","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003166889,0.00015582,0.0001075589,0.0007588663,0.001162296,0.001595424,0.0004233057,0.0003190898,0.009157625],"category_scores_gemma":[0.00119561,0.0001297664,0.0002463329,0.00109372,0.000441493,0.0004401923,0.0003677194,0.0002691482,0.0002773876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04143389,"about_ca_system_score_gemma":0.0121315,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9860874,"about_ca_topic_score_gemma":0.9917406,"domain_scores_codex":[0.9996687,0.00006758924,0.000008779218,0.00002778951,0.0001157626,0.0001114227],"domain_scores_gemma":[0.9993308,0.0001469658,0.00009675374,0.00001495846,0.0002587828,0.0001518097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001201561,0.0009906063,0.8077013,0.0003790142,0.0003324097,0.002889075,0.002069002,0.03366259,0.011002,0.01586631,0.007988647,0.1159175],"study_design_scores_gemma":[0.00008276913,0.000408535,0.9491014,0.0001340094,0.00009925487,0.0002261241,0.007559967,0.02434999,0.001500252,0.001001753,0.01546861,0.00006722335],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776879,0.0005527116,0.0003259982,0.0005314762,0.000006732876,0.00007078979,0.0006494479,0.00001058387,0.02016434],"genre_scores_gemma":[0.9929773,0.0003450712,0.000174614,0.00004431379,0.000001625829,0.000009907441,0.0001760887,0.000002569314,0.006268425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04143389,"threshold_uncertainty_score":0.3006253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0125213772247071,"score_gpt":0.2104048140904117,"score_spread":0.1978834368657046,"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."}}