{"id":"W3095466390","doi":"10.1130/abs/2020am-354711","title":"BOTTOMS UP: HOW LANDSCAPE STRUCTURE AND COMPOSITION INFLUENCES RIVER THERMAL REGIMES","year":2020,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Plant Ecology and Soil Science","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Composition (language); Thermal; Environmental science; Geology; Earth science; Geography; Meteorology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007696471,0.0002941949,0.0005848522,0.0005040543,0.001030195,0.003518995,0.0006082684,0.00083991,0.0125288],"category_scores_gemma":[0.004438128,0.0005302133,0.0009304415,0.0005667933,0.001227639,0.001905326,0.001663153,0.001008594,0.001318045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005612011,"about_ca_system_score_gemma":0.0005219267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02339889,"about_ca_topic_score_gemma":0.06620866,"domain_scores_codex":[0.9993178,0.000265681,0.000021876,0.0002170465,0.00005997687,0.0001176414],"domain_scores_gemma":[0.9975209,0.001076943,0.0002178033,0.0002718875,0.0003878684,0.0005245085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005340033,0.0001088601,0.8987242,0.0002072714,0.0008818098,0.0003749275,0.005979067,0.006255602,0.02227812,0.004914252,0.008401071,0.05134077],"study_design_scores_gemma":[0.000008715466,0.00004353305,0.9882726,0.00004014926,0.0001563154,0.00003796586,0.002076182,0.003468607,0.0007293338,0.003449887,0.001684395,0.0000322805],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801567,0.0004468486,0.00438375,0.001122198,0.0000993325,0.00001903403,0.0005589492,0.0001165891,0.01309667],"genre_scores_gemma":[0.9973764,0.00005071999,0.0003119729,0.0001831063,0.00001537086,0.000004899085,0.0001105516,0.00008162596,0.001865312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02339889,"threshold_uncertainty_score":0.04652536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01091743048873474,"score_gpt":0.2085072878806538,"score_spread":0.1975898573919191,"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."}}