{"id":"W2387480354","doi":"","title":"Development of aquaculture in Canada","year":2011,"lang":"en","type":"article","venue":"Chinese Fisheries Economics","topic":"Fisheries and Aquaculture Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aquaculture; Business; Distribution (mathematics); Environmental planning; Macro; Natural resource economics; Environmental resource management; Fish <Actinopterygii>; Fishery; Economics; Geography; Computer science","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":[0.0003505806,0.0002440052,0.0001504586,0.001675179,0.005193087,0.00250965,0.0005181956,0.0003504415,0.006947134],"category_scores_gemma":[0.0008850498,0.0001563169,0.0002440901,0.004082808,0.000973733,0.0005001341,0.001535199,0.0006535065,0.0005017833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07145556,"about_ca_system_score_gemma":0.1779349,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945749,"about_ca_topic_score_gemma":0.9982672,"domain_scores_codex":[0.9992193,0.00003899788,0.00002303745,0.00005608619,0.00034864,0.0003139432],"domain_scores_gemma":[0.9990126,0.00002678693,0.0000517017,0.0000127346,0.0005469572,0.0003491634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001453523,0.0001098851,0.1795695,0.001018041,0.00007619888,0.003924788,0.01113126,0.003423091,0.003964527,0.2189078,0.1213,0.4564295],"study_design_scores_gemma":[0.00001206123,0.00003746705,0.262172,0.0003797027,0.00002378582,0.0003944004,0.006874855,0.0009269777,0.0005835479,0.002810013,0.7257342,0.0000509358],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3060372,0.01982597,0.001881114,0.01995967,0.0005565226,0.0001916324,0.007627486,0.0002397245,0.6436807],"genre_scores_gemma":[0.8260792,0.01620701,0.003732368,0.001832438,0.00003259032,0.00006155008,0.001847,0.00004244641,0.1501653],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07145556,"threshold_uncertainty_score":0.5184488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02157998445222284,"score_gpt":0.1639963236553936,"score_spread":0.1424163392031707,"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."}}