{"id":"W4394519355","doi":"10.6084/m9.figshare.12150960","title":"Additional file 6 of What are the effects of flow-regime changes on fish productivity in temperate regions? A systematic map","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Fisheries and Oceans Canada; Carleton University","funders":"","keywords":"Temperate climate; Fish <Actinopterygii>; Productivity; Fishery; Environmental science; Biology; Ecology; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001786148,0.001052656,0.001282746,0.004261928,0.0006771319,0.001324436,0.001887414,0.001076786,0.6152502],"category_scores_gemma":[0.01624817,0.0006146295,0.001296871,0.008061366,0.0002799247,0.002006258,0.001565984,0.000885073,0.07605258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001434864,"about_ca_system_score_gemma":0.002639331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04369536,"about_ca_topic_score_gemma":0.061487,"domain_scores_codex":[0.9990356,0.000153608,0.0002122725,0.0002404932,0.0001868364,0.0001712324],"domain_scores_gemma":[0.9896098,0.005612028,0.001058361,0.0006812348,0.00265654,0.0003819692],"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":[0.00006244001,0.0000208688,0.00184595,0.002553338,0.00004374018,0.00001812476,0.00004608795,0.0002225147,0.00004029485,0.0004764256,0.9920908,0.002579346],"study_design_scores_gemma":[0.001916978,0.00007203282,0.04108815,0.003939485,0.000195734,0.0001197315,0.0004530437,0.0006960118,0.0002886767,0.004274788,0.9468511,0.0001040891],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003548082,0.000008510493,0.00002491982,0.0000217708,0.000004954709,0.00001248669,0.9996137,0.00003371546,0.0002445071],"genre_scores_gemma":[0.001754261,0.00007799204,0.0009345707,0.0001334128,0.0000227535,0.0006202542,0.9942816,0.0001307868,0.002044281],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6152502,"threshold_uncertainty_score":0.5487988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02400289391776829,"score_gpt":0.2285647395908398,"score_spread":0.2045618456730716,"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."}}