{"id":"W7105717357","doi":"10.24400/527896/a03-2025.3996","title":"SAMBA (SWOT for the AMazon BAsin)","year":2025,"lang":"","type":"article","venue":"Open MIND","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Espace pour la vie","funders":"","keywords":"SWOT analysis; Amazon rainforest; Context (archaeology); Thematic map; Watershed; Water cycle; Work (physics)","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":[],"consensus_categories":[],"category_scores_codex":[0.0009698586,0.0007398609,0.0003724791,0.001264391,0.000828072,0.002518296,0.001288264,0.0006901891,0.07781572],"category_scores_gemma":[0.002441869,0.0003821258,0.0005385263,0.001762695,0.0002697629,0.002085615,0.002579379,0.0007450624,0.02504678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009005591,"about_ca_system_score_gemma":0.002274751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02001778,"about_ca_topic_score_gemma":0.02516182,"domain_scores_codex":[0.999395,0.0001143792,0.00002965791,0.0001116898,0.000245938,0.000103369],"domain_scores_gemma":[0.9989535,0.0001145397,0.0001030766,0.0001635086,0.0003518588,0.0003134033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002939753,0.00005913495,0.01153151,0.001117529,0.00008690541,0.0002808895,0.0004874517,0.0009990043,0.003520363,0.02205659,0.7396933,0.2198733],"study_design_scores_gemma":[0.00003893208,0.00001667659,0.005469123,0.0001534575,0.00001277842,0.00008785234,0.0001423852,0.0009287298,0.0008285743,0.003730868,0.9885761,0.0000146168],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.03259114,0.01267069,0.05000171,0.012873,0.003128383,0.0007600219,0.4479375,0.05337624,0.3866612],"genre_scores_gemma":[0.2816233,0.007360881,0.1556742,0.005190634,0.001377498,0.00146873,0.3711184,0.0289743,0.147212],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07781572,"threshold_uncertainty_score":0.2603195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04347560328805981,"score_gpt":0.3223583351161732,"score_spread":0.2788827318281134,"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."}}