{"id":"W3208412714","doi":"10.5281/zenodo.3898570","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":1,"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":[0.001456885,0.001583056,0.001363304,0.003792946,0.0007324905,0.003158141,0.003571481,0.00127568,0.1296126],"category_scores_gemma":[0.005632623,0.0009982354,0.0009707221,0.006738077,0.000312376,0.003660104,0.002937952,0.001113626,0.1853849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001025805,"about_ca_system_score_gemma":0.002232936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01383879,"about_ca_topic_score_gemma":0.01256789,"domain_scores_codex":[0.998612,0.0001658191,0.0003413199,0.0003124166,0.0003929973,0.0001753969],"domain_scores_gemma":[0.9972304,0.0003732227,0.0002245956,0.0008382378,0.001142443,0.0001912365],"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":[0.00007882374,0.00001732286,0.0004589672,0.000300232,0.00001651601,0.00002638747,0.00003363826,0.0002131656,0.0001953314,0.001211185,0.9909814,0.006466968],"study_design_scores_gemma":[0.0001022722,0.00001519026,0.001706583,0.0001203626,0.00001363355,0.00004306532,0.0000742415,0.001154144,0.0008311407,0.001915797,0.9939901,0.00003360282],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004734706,0.00005197511,0.001590913,0.0001070093,0.00005121652,0.00007403268,0.9792776,0.01108172,0.007292187],"genre_scores_gemma":[0.0007193823,0.00003688116,0.001561197,0.00007370131,0.00001093451,0.0001058585,0.9936001,0.002074073,0.001817857],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1296126,"threshold_uncertainty_score":0.4335973,"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."}}