{"id":"W7029191475","doi":"","title":"GROWTH OF <em>SACCHARINA LATISSIMA</em> IN AQUACULTURE SYSTEMS MODELED USING DYNAMIC ENERGY BUDGET THEORY","year":2019,"lang":"en","type":"article","venue":"Journal of Media Literacy Education","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Oceanic and Atmospheric Administration","keywords":"Aquaculture; Sustainability; Production (economics); Range (aeronautics); Energy budget; System dynamics; Kelp","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001644542,0.0004383071,0.0002949096,0.0003867651,0.0004135859,0.0007936837,0.0006730885,0.0007516361,0.001193726],"category_scores_gemma":[0.0003282089,0.000295864,0.0006127522,0.0004644992,0.0003231313,0.0005397031,0.0003426199,0.0003763124,0.0002313833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001813384,"about_ca_system_score_gemma":0.000756395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1229106,"about_ca_topic_score_gemma":0.07156303,"domain_scores_codex":[0.9999422,0.000006796357,0.000003170643,0.0000304854,0.000004307648,0.00001307709],"domain_scores_gemma":[0.9998654,0.00005102547,0.00003930921,0.000009085727,0.00001968795,0.00001540543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003719261,0.00004051309,0.01728439,0.00002044354,0.00002419207,0.0001216317,0.00003046323,0.9756941,0.004640236,0.0003195893,0.0001319822,0.001655288],"study_design_scores_gemma":[0.000009082294,0.00002608266,0.006664114,0.000004843678,0.000009961668,0.0000136497,0.00003351244,0.9924873,0.0004269493,0.0001528142,0.0001618321,0.000009922859],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952143,0.00009071031,0.002299817,0.00006372025,0.000004839264,0.000008947186,0.0003158498,0.00004492075,0.001956874],"genre_scores_gemma":[0.9974917,0.00007895933,0.001282479,0.00002987029,0.000001818879,0.00001921525,0.0002848986,0.00001457402,0.000796539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1229106,"threshold_uncertainty_score":0.2443904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009876826418743921,"score_gpt":0.2585984245939829,"score_spread":0.248721598175239,"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."}}