{"id":"W4241294886","doi":"10.26685/urncst.196","title":"The Science Atlantic 2020 Aquaculture &amp; Fisheries and Biology Conference","year":2020,"lang":"en","type":"article","venue":"Undergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University; Cape Breton University","funders":"Cape Breton University","keywords":"Presentation (obstetrics); Mandate; Publishing; Aquaculture; Political science; Coronavirus disease 2019 (COVID-19); Fisheries science; Library science; Public relations; Fish <Actinopterygii>; Fishery; Fisheries management; Medicine; Computer science; Biology; Fishing; Law","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005623339,0.0006099851,0.0003433252,0.0009078359,0.003838607,0.005055583,0.000823826,0.001901771,0.09155594],"category_scores_gemma":[0.00594534,0.0002423306,0.0005111661,0.0007179702,0.0008954351,0.001090117,0.002446519,0.002668324,0.03149403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007596578,"about_ca_system_score_gemma":0.02704357,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03723534,"about_ca_topic_score_gemma":0.1220616,"domain_scores_codex":[0.997801,0.0003636018,0.00006406359,0.0001230598,0.001283807,0.0003643994],"domain_scores_gemma":[0.9924465,0.0004699823,0.0001420775,0.0001277402,0.003753873,0.00305981],"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":[0.00006042023,0.00005500972,0.0004188299,0.00005627189,0.000002770277,0.00009743814,0.0001572982,0.00005099785,0.000602282,0.001072836,0.9800591,0.01736683],"study_design_scores_gemma":[0.000006275745,0.00002211396,0.001268895,0.00002632672,9.475328e-7,0.00001478925,0.0002632076,0.00005778266,0.0001206448,0.0001954436,0.998018,0.000005642434],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01939207,0.003734179,0.002981385,0.1530663,0.09957252,0.001541582,0.005007058,0.0005101776,0.7141948],"genre_scores_gemma":[0.02643549,0.001667914,0.003258826,0.01068687,0.005649491,0.0009638023,0.003535703,0.0002110641,0.9475909],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9627647,"threshold_uncertainty_score":0.3062851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2622015513352085,"score_gpt":0.5172567086527662,"score_spread":0.2550551573175577,"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."}}