{"id":"W4385358369","doi":"10.1002/lob.10590","title":"Another Step Toward “Big” Catchment Science","year":2023,"lang":"en","type":"article","venue":"Limnology and Oceanography Bulletin","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Chapel; State (computer science); Library science; Art history; History; Computer science","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":[0.04616139,0.002128663,0.002787527,0.007375744,0.002996822,0.01603698,0.007769279,0.004426581,0.02242618],"category_scores_gemma":[0.08815923,0.001350288,0.003604517,0.009950562,0.006596083,0.03857834,0.01505199,0.01428402,0.00740299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004292241,"about_ca_system_score_gemma":0.01137282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01244407,"about_ca_topic_score_gemma":0.01152683,"domain_scores_codex":[0.9832376,0.007787485,0.001242063,0.002885782,0.004072296,0.0007747883],"domain_scores_gemma":[0.917226,0.02944399,0.002468162,0.02977514,0.01602484,0.005061809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001743646,0.0002512667,0.01429008,0.001231505,0.0005709828,0.0001352201,0.002125234,0.004624846,0.00100284,0.4881428,0.3081151,0.1793357],"study_design_scores_gemma":[0.00009766863,0.00005730784,0.004277685,0.000724574,0.00009239261,0.00006852383,0.001271838,0.004772539,0.0003197775,0.51019,0.4780536,0.00007427425],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.00989268,0.01335106,0.6257974,0.2661019,0.01266414,0.001021707,0.0172952,0.00897807,0.04489795],"genre_scores_gemma":[0.0834833,0.01044093,0.7859353,0.06729698,0.01180233,0.001854464,0.01789434,0.007544179,0.01374815],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.04616139,"threshold_uncertainty_score":0.2441278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01273250839065431,"score_gpt":0.2157556282048696,"score_spread":0.2030231198142153,"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."}}