{"id":"W2082383867","doi":"10.4319/lom.2010.8.30","title":"Characterizing deposited sediment for stream habitat assessment","year":2010,"lang":"en","type":"article","venue":"Limnology and Oceanography Methods","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of New Brunswick","funders":"","keywords":"Sediment; Watershed; Hydrology (agriculture); Riparian zone; Environmental science; STREAMS; Context (archaeology); Stream restoration; Land use; Habitat; Geology; Ecology; Geomorphology","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":[0.0008066632,0.0001978085,0.0002459578,0.00009757933,0.0003400742,0.00001860783,0.0001800052,0.0002818594,0.0003573569],"category_scores_gemma":[0.00002640282,0.0001724594,0.00009898445,0.0002063582,0.0004947183,0.0001895366,0.00006150829,0.0003655484,0.000005820491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006609879,"about_ca_system_score_gemma":0.000009282907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009115413,"about_ca_topic_score_gemma":0.00006715383,"domain_scores_codex":[0.9987048,0.0001284351,0.0002448747,0.000445839,0.00008667842,0.0003893747],"domain_scores_gemma":[0.9992545,0.0003131328,0.0000877498,0.0002094512,0.00001084682,0.0001243222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005138452,0.0001393599,0.8255171,0.00002381346,0.0000739493,0.000004394439,0.0002648688,0.000003712024,0.1504487,0.001070674,0.00007465632,0.02232736],"study_design_scores_gemma":[0.001186329,0.0006412153,0.8626015,0.000009478073,0.0001870787,0.00004650334,0.0001265489,0.0008110185,0.08470579,0.004878116,0.04435008,0.0004563601],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9586279,0.0001024762,0.03775758,0.0009028001,0.0005245126,0.0003057359,0.000009558295,0.0000954005,0.001674034],"genre_scores_gemma":[0.7376321,0.00005505884,0.2612657,0.0008674869,0.00004016607,0.00006196363,0.00002709448,0.00001170225,0.00003870617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2235081,"threshold_uncertainty_score":0.7032689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01289769568924381,"score_gpt":0.3105865589803875,"score_spread":0.2976888632911437,"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."}}