{"id":"W2017775023","doi":"10.1002/hyp.6789","title":"An integrated framework of lake‐stream connectivity for a semi‐arid, subarctic environment","year":2007,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Hydrology (agriculture); Subarctic climate; Snowmelt; Surface runoff; Environmental science; Arid; Streamflow; Water balance; Outflow; Drainage basin; Geology; Ecology; Geography; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006876749,0.0002064671,0.0002983277,0.00003636174,0.0001924282,0.000009945019,0.0002882705,0.0002020763,0.001125354],"category_scores_gemma":[0.0004611159,0.00015036,0.00005746445,0.0002160625,0.0006778798,0.0001705417,0.0001537314,0.0001839756,0.00007156623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004213424,"about_ca_system_score_gemma":0.00000598128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004029748,"about_ca_topic_score_gemma":0.0003472749,"domain_scores_codex":[0.9985319,0.00005388483,0.0002839383,0.0004886983,0.0001940419,0.0004474864],"domain_scores_gemma":[0.9989752,0.0005445955,0.0001270158,0.0002371487,0.00001336089,0.0001027074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001568421,0.003049594,0.950487,0.0003542143,0.0001963673,0.0000500192,0.001421825,0.02350727,0.005182557,0.001180046,0.0009200688,0.01208266],"study_design_scores_gemma":[0.003895886,0.01312805,0.5400801,0.0001445588,0.000655795,0.00004422218,0.001371298,0.008545582,0.08656835,0.220917,0.1220934,0.002555738],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8958171,0.00005514552,0.101588,0.0004062557,0.00005153869,0.0004340857,0.00001579747,0.00008736102,0.001544755],"genre_scores_gemma":[0.9959334,0.00005833419,0.003232792,0.0005506395,0.00003549364,0.00007132695,0.00002172927,0.00001114194,0.00008517913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4104068,"threshold_uncertainty_score":0.9997877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01522896736976035,"score_gpt":0.2519063841368728,"score_spread":0.2366774167671124,"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."}}