{"id":"W3158213793","doi":"10.3390/w13091203","title":"The Fate of Stationary Tools for Environmental Flow Determination in a Context of Climate Change","year":2021,"lang":"en","type":"article","venue":"Water","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Institut National de la Recherche Scientifique","funders":"","keywords":"Context (archaeology); Climate change; Flow (mathematics); Environmental science; Quality (philosophy); Computer science; Environmental resource management; Ecosystem; Ecology; Geography; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001256133,0.00003472932,0.00005921139,0.000007966592,0.00005505219,0.000003389908,0.0000428234,0.00001555477,0.0002378331],"category_scores_gemma":[0.00001088351,0.00002250176,0.00001900891,0.0000159026,0.00008683111,0.0001322519,0.0001188261,0.00001490113,0.00002058658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002113761,"about_ca_system_score_gemma":4.95709e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004680476,"about_ca_topic_score_gemma":0.0006004389,"domain_scores_codex":[0.9996349,0.00002111997,0.0001120514,0.00007759992,0.00005197379,0.0001024097],"domain_scores_gemma":[0.9998427,0.00006303758,0.00002862029,0.00005868851,0.000001857752,0.000005106887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002161017,0.0003882787,0.4193522,0.0001192393,0.00005171743,0.00001675591,0.01228363,0.0001807632,0.02943872,0.0004528515,0.001950823,0.5355489],"study_design_scores_gemma":[0.0006627007,0.00009347407,0.9359372,0.000009438679,0.0000150165,7.787649e-7,0.001967482,0.001949396,0.04516906,0.0007914529,0.0133246,0.00007942253],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959601,0.00002239582,0.00007755226,0.001147198,0.00006791994,0.0003074514,0.00003946721,0.000002560095,0.002375361],"genre_scores_gemma":[0.9987861,0.0002007495,0.0002845155,0.0002323295,0.000004478236,0.0001031241,0.00003028237,0.000002567319,0.0003558534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5354695,"threshold_uncertainty_score":0.2604105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01838479262841861,"score_gpt":0.2254434737854938,"score_spread":0.2070586811570752,"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."}}