{"id":"W3001746378","doi":"10.1111/raq.12399","title":"The economics of Integrated Multi‐Trophic Aquaculture: where are we now and where do we need to go?","year":2020,"lang":"en","type":"article","venue":"Reviews in Aquaculture","topic":"Marine Bivalve and Aquaculture Studies","field":"Environmental Science","cited_by":152,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Memorial University of Newfoundland; Concordia University; University of New Brunswick; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Atlantic Canada Opportunities Agency","keywords":"Aquaculture; Profitability index; Business; Production (economics); Externality; Incentive; Polyculture; Contingent valuation; Natural resource economics; Economics; Willingness to pay; Fishery; Biology; Microeconomics; Finance; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003640349,0.0004703481,0.0008392701,0.00002231501,0.0002066283,0.00009093821,0.0005910986,0.0001878848,0.0003324119],"category_scores_gemma":[0.0001775702,0.0002514581,0.000225033,0.0006891946,0.000236969,0.0001748721,0.0005157674,0.0005071977,0.0005233096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000113736,"about_ca_system_score_gemma":0.00001234551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008612825,"about_ca_topic_score_gemma":0.008094788,"domain_scores_codex":[0.9977908,0.0002121706,0.0007519448,0.0006404369,0.0001988127,0.0004058551],"domain_scores_gemma":[0.9989331,0.00005504031,0.0003649179,0.0003733943,0.00003181363,0.0002416974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001746938,0.0002093905,0.08330861,0.0009644575,0.0001574706,0.00002053189,0.01184769,0.0003762423,0.007375407,0.0009196997,0.7713346,0.1233112],"study_design_scores_gemma":[0.0004430696,0.00009323961,0.003390254,0.0005623614,0.00004193703,0.000005270861,0.002306981,0.0001872707,0.0001084653,0.0001111547,0.9924056,0.0003444073],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.04518791,0.6406065,0.0001679433,0.300606,0.0003569783,0.00519139,0.0002323518,0.0001523974,0.007498549],"genre_scores_gemma":[0.02664674,0.9612894,0.003952881,0.001570635,0.000174528,0.0001554485,0.00001495601,0.00005058251,0.006144823],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3206829,"threshold_uncertainty_score":0.9999937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02734981256925278,"score_gpt":0.2643136172267586,"score_spread":0.2369638046575058,"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."}}