{"id":"W3015966041","doi":"","title":"A new U.S.-Canada Collaboration to build SWOT Calibration/Validation and Science Capacity for Northern Rivers and Wetlands","year":2016,"lang":"en","type":"article","venue":"AGUFM","topic":"Transboundary Water Resource Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"SWOT analysis; Wetland; Calibration; Environmental resource management; Environmental planning; Geography; Environmental science; Remote sensing; Water resource management; Business; Ecology; Mathematics","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":[0.02857801,0.001247812,0.001032572,0.004084358,0.007545416,0.005179787,0.002472759,0.001557117,0.008133121],"category_scores_gemma":[0.01976694,0.0006581158,0.001201596,0.003708808,0.001904077,0.004082232,0.006377914,0.003250333,0.002242107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0371425,"about_ca_system_score_gemma":0.286314,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9539806,"about_ca_topic_score_gemma":0.9716786,"domain_scores_codex":[0.9889666,0.001447356,0.0002692351,0.0009853039,0.006363515,0.001967889],"domain_scores_gemma":[0.8772067,0.003978289,0.001806501,0.005747706,0.09716566,0.01409517],"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":[0.0007073189,0.0006364693,0.07389922,0.0005487402,0.0003488597,0.0002473562,0.002936011,0.01924006,0.02177643,0.0239682,0.5319474,0.3237439],"study_design_scores_gemma":[0.000154345,0.0002334522,0.07352935,0.0005585384,0.0002162781,0.0001063299,0.003197277,0.03335058,0.01851368,0.007460344,0.862468,0.0002117764],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1772297,0.006798238,0.3396136,0.0959776,0.005118015,0.005978342,0.1051019,0.01962346,0.2445592],"genre_scores_gemma":[0.2911908,0.001676062,0.5733725,0.009558719,0.000212733,0.001439365,0.04882654,0.002784413,0.07093887],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04601938,"threshold_uncertainty_score":0.269489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01337445334462804,"score_gpt":0.2469067803975589,"score_spread":0.2335323270529309,"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."}}