{"id":"W4394041534","doi":"10.5281/zenodo.5643392","title":"SWOT River Database (SWORD)","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"SWORD; Database; SWOT analysis; Computer science; Geography; World Wide Web; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001823555,0.001898259,0.001758147,0.004231828,0.0007370011,0.004460998,0.004389153,0.001940304,0.1259247],"category_scores_gemma":[0.007868171,0.001203446,0.001134153,0.005997151,0.0003755168,0.005002163,0.003807615,0.001685463,0.2351121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009453898,"about_ca_system_score_gemma":0.00243601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007788746,"about_ca_topic_score_gemma":0.006768591,"domain_scores_codex":[0.998311,0.000211019,0.0003805413,0.0003467885,0.0005480269,0.000202487],"domain_scores_gemma":[0.997026,0.0003570703,0.0002309787,0.0009749989,0.001172832,0.0002381775],"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":[0.0001425565,0.00002444939,0.000469815,0.0004427029,0.00002850561,0.00004861326,0.00004683164,0.0003050692,0.0003674626,0.002515847,0.9820151,0.0135931],"study_design_scores_gemma":[0.0001188218,0.00001787951,0.001030171,0.0001437165,0.0000175411,0.00007734447,0.00006393574,0.002030954,0.001262799,0.003615066,0.9915746,0.00004712213],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009507742,0.0004303886,0.01081067,0.0003456899,0.0001626709,0.0002145554,0.8772156,0.08191974,0.02794977],"genre_scores_gemma":[0.002139067,0.0001850987,0.005846418,0.0002700868,0.00003063394,0.0001979806,0.9768166,0.009910911,0.00460319],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1259247,"threshold_uncertainty_score":0.4212601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0250865971210024,"score_gpt":0.2322860484546873,"score_spread":0.2071994513336849,"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."}}