{"id":"W2938601188","doi":"10.26685/urncst.142","title":"Science Atlantic 2019 Aquaculture &amp; Fisheries and Biology Conference","year":2019,"lang":"en","type":"article","venue":"Undergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University; Crandall University","funders":"","keywords":"Presentation (obstetrics); Aquaculture; Fisheries science; Fisheries Research; Style (visual arts); Fishery; Library science; Fish <Actinopterygii>; Fisheries management; Biology; Computer science; Geography; Medicine; Fishing","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":[0.001249754,0.0006819275,0.0003863009,0.0009534154,0.00228773,0.003329096,0.0005439156,0.001395453,0.2181188],"category_scores_gemma":[0.001348448,0.0001928407,0.0004351396,0.0006161283,0.0005016212,0.0008318935,0.002190595,0.001592784,0.0621011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00324571,"about_ca_system_score_gemma":0.00720526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01961921,"about_ca_topic_score_gemma":0.07204726,"domain_scores_codex":[0.9993771,0.00004672849,0.0000210082,0.00005817085,0.0003644809,0.0001326517],"domain_scores_gemma":[0.9978248,0.00007298876,0.00005133031,0.0000429421,0.001165468,0.0008425061],"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":[0.0001598531,0.0001037062,0.001518501,0.0001167436,0.000005814681,0.0001349785,0.00008176436,0.00008457565,0.0016233,0.001229377,0.9390008,0.05594057],"study_design_scores_gemma":[0.000007195338,0.00004897727,0.003163157,0.00004834471,0.000002996918,0.00003372775,0.0001678757,0.0001135206,0.0004139382,0.0002799201,0.9957139,0.000006389238],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0201026,0.004900788,0.002132217,0.0503714,0.07153094,0.0004206911,0.004011628,0.0007072925,0.8458225],"genre_scores_gemma":[0.01977636,0.001898863,0.001037725,0.001780786,0.002586474,0.00009853466,0.001948765,0.0001115899,0.9707609],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2181188,"threshold_uncertainty_score":0.7296801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06884932887474679,"score_gpt":0.3819842159778994,"score_spread":0.3131348871031526,"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."}}