{"id":"W3139464267","doi":"","title":"Performance of Potentially Universal Runoff Signatures for the Classification of Ontario Basins","year":2012,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Surface runoff; Signature (topology); Environmental science; Computer science; Mathematics; Ecology","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":[0.002658459,0.0006565949,0.0004716745,0.001325804,0.0008119015,0.00173239,0.0005732196,0.0006585214,0.0009850411],"category_scores_gemma":[0.006037444,0.000179806,0.0003538961,0.0008173465,0.0006570679,0.0008362099,0.00113303,0.0003579732,0.0002992757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001402076,"about_ca_system_score_gemma":0.002335211,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07081684,"about_ca_topic_score_gemma":0.1653114,"domain_scores_codex":[0.9991579,0.0002492349,0.00006391694,0.0001812207,0.0001817088,0.0001659789],"domain_scores_gemma":[0.9967955,0.001673918,0.0002050044,0.0002311833,0.0007728284,0.0003216197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003860822,0.0002354919,0.4749444,0.0001994307,0.0003589768,0.0001775698,0.0007303553,0.05843441,0.03006184,0.001260648,0.002672594,0.4270635],"study_design_scores_gemma":[0.0001296277,0.0004928868,0.2380603,0.00005526367,0.0003236508,0.0002089117,0.00106786,0.7316111,0.02433658,0.001756711,0.001885492,0.00007155634],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917132,0.0002258135,0.005982209,0.00006329265,0.000008318467,0.00001861249,0.0003713687,0.0001862474,0.001431019],"genre_scores_gemma":[0.9936726,0.00007818288,0.004948365,0.00001474752,0.000007578535,0.000007590637,0.000788385,0.0000221422,0.0004603541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9291831,"threshold_uncertainty_score":0.1408093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01587693647439639,"score_gpt":0.2146154726126722,"score_spread":0.1987385361382758,"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."}}