{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.007537765,0.0001545456,0.0003005447,0.001148932,0.001128087,0.0005476192,0.0007043993,0.0002164147,0.0001065594],"category_scores_gemma":[0.001811645,0.00008992237,0.00002673652,0.002979218,0.01203268,0.0007345269,0.0002077293,0.001691569,0.00007765739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002006734,"about_ca_system_score_gemma":0.0006896568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002219721,"about_ca_topic_score_gemma":0.0004649202,"domain_scores_codex":[0.9972258,0.0002688133,0.0003964664,0.0006715849,0.0006006282,0.0008366744],"domain_scores_gemma":[0.9979439,0.0008383454,0.0001210731,0.0002094186,0.0005164342,0.0003707889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007549949,0.00002973672,0.9017609,0.00001415603,0.000008135707,0.00001523121,0.00003447593,6.761754e-7,0.00335027,0.008553741,0.0003268753,0.08583032],"study_design_scores_gemma":[0.001068164,0.001327971,0.8613788,0.0001441413,0.000008390952,0.0009358973,0.00066821,0.00391567,0.0001655866,0.1140473,0.01600469,0.0003351893],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9608614,0.00262023,0.000004958269,0.03514738,0.0003280382,0.000201481,0.000004589289,0.00002288544,0.0008090209],"genre_scores_gemma":[0.9882469,0.01061359,0.0003476655,0.0001154914,0.00005074162,5.992059e-7,0.000002763847,0.000002090995,0.0006202172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1054935,"threshold_uncertainty_score":0.990656,"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."}}