{"id":"W6931951444","doi":"10.5683/sp2/nhayfn","title":"Data from: Sea ice increases benthic community heterogeneity in a seagrass landscape","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université du Québec à Rimouski","funders":"","keywords":"Sediment; Seagrass; Benthic zone; Granulometry; Biomass (ecology); Particulates; Nutrient; Total organic carbon","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":[0.000303237,0.0003453623,0.0002814861,0.001448,0.0004292809,0.0009583292,0.0003788856,0.0002237491,0.07538576],"category_scores_gemma":[0.001471145,0.0001815487,0.0002804333,0.002583647,0.0001212348,0.0003641697,0.0004843428,0.0002859955,0.01430784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001809207,"about_ca_system_score_gemma":0.001490553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3564114,"about_ca_topic_score_gemma":0.5934541,"domain_scores_codex":[0.999747,0.00001487982,0.00002289241,0.00004165355,0.0001298987,0.00004371954],"domain_scores_gemma":[0.9977219,0.0002096188,0.0003147554,0.0001500222,0.001370956,0.0002327295],"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":[0.0004062449,0.00007230492,0.1247433,0.0004638444,0.00005793353,0.0001011033,0.0002264813,0.000661027,0.0008333208,0.0001959276,0.8466098,0.02562862],"study_design_scores_gemma":[0.0001356031,0.0000423002,0.7569677,0.000142287,0.00002641926,0.0000416912,0.0002751627,0.0005413093,0.0009628609,0.0001004949,0.2407404,0.00002380973],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02337149,0.00003535941,0.0001523837,0.0001680602,0.00005857065,0.00007286358,0.9639114,0.000357255,0.01187265],"genre_scores_gemma":[0.04750158,0.00007457443,0.0007438269,0.0001194822,0.0000289997,0.0001431658,0.9376622,0.0001919645,0.0135343],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3564114,"threshold_uncertainty_score":0.7086737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0835877985767721,"score_gpt":0.2784343273659878,"score_spread":0.1948465287892157,"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."}}