{"id":"W3005998138","doi":"10.1109/iotm.0001.1900033","title":"Precision Aquaculture","year":2019,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Aquaculture; Standardization; Interoperability; Internet of Things; Work (physics); Computer science; Cloud computing; Business; Environmental resource management; Data science; Fish <Actinopterygii>; Engineering; Environmental science; Fishery; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005172875,0.0006683131,0.0004526124,0.0009483253,0.002791253,0.002874752,0.001068482,0.001036525,0.02765835],"category_scores_gemma":[0.0009580367,0.0003018519,0.0004616063,0.001665164,0.001319757,0.001346637,0.00288093,0.001196846,0.01230039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003621352,"about_ca_system_score_gemma":0.006292483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06492371,"about_ca_topic_score_gemma":0.1047216,"domain_scores_codex":[0.9988726,0.00003247451,0.00003633568,0.0002094898,0.0007205852,0.0001285016],"domain_scores_gemma":[0.9993425,0.00004990632,0.00004397469,0.0001129514,0.0003660951,0.00008452659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000320183,0.0001104435,0.01582268,0.0007170363,0.00004542823,0.002528279,0.00211656,0.005033778,0.06506529,0.03441412,0.09301995,0.7808062],"study_design_scores_gemma":[0.00002562828,0.0002015644,0.0142858,0.0002217728,0.00002489188,0.001158721,0.001016526,0.00181563,0.01189765,0.004122559,0.9651761,0.00005314868],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08171308,0.00404588,0.08146168,0.003399385,0.001426544,0.0006425151,0.005800814,0.005404368,0.8161058],"genre_scores_gemma":[0.3692348,0.006058946,0.06484311,0.001445464,0.0001995743,0.0003803799,0.006098127,0.0006430512,0.5510966],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06492371,"threshold_uncertainty_score":0.1290916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01483367711597306,"score_gpt":0.2480073747284655,"score_spread":0.2331736976124925,"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."}}