{"id":"W6964063983","doi":"10.21966/j99c-9c14","title":"High-resolution hydrometeorological data from seven small coastal watersheds, British Columbia, Canada, 2013-2019","year":2013,"lang":"en","type":"dataset","venue":"Hakai Institute","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydrometeorology; Streamflow; Snow; Hydrology (agriculture); Elevation (ballistics); Precipitation; Automatic weather station; Hydrograph","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007594946,0.001121877,0.001959271,0.0002006945,0.0007251283,0.002020959,0.006192038,0.00165021,0.009949048],"category_scores_gemma":[0.0004962296,0.001631796,0.0001986332,0.0005208166,0.000965411,0.001565871,0.004829179,0.002073206,0.02312623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001116412,"about_ca_system_score_gemma":0.003531312,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9998427,"about_ca_topic_score_gemma":0.9999693,"domain_scores_codex":[0.9909097,0.0005384541,0.001538481,0.003181283,0.001815281,0.002016824],"domain_scores_gemma":[0.9917419,0.00017888,0.0009593194,0.005837965,0.0003213228,0.0009605882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005592844,0.0002867341,0.0001245171,0.00008499481,0.0005835668,0.002177806,0.000004481472,0.0001606243,0.00007639681,0.000001505437,0.9960965,0.0003469759],"study_design_scores_gemma":[0.001747057,0.0001133567,0.006586201,0.0003573633,0.0006928876,0.0002972108,0.000008552252,0.0002974756,0.000003675801,0.00008073387,0.9879199,0.00189561],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04016627,0.0007380145,0.00003234363,0.0002226506,0.006990325,0.00159179,0.9498416,0.0003396889,0.00007737226],"genre_scores_gemma":[0.001087906,0.0005964286,0.001552416,0.0007145686,0.001860537,0.0001853444,0.9897425,0.0002272977,0.00403306],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0399009,"threshold_uncertainty_score":0.9996458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03570740301168794,"score_gpt":0.2228048934602565,"score_spread":0.1870974904485686,"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."}}