{"id":"W4403845555","doi":"10.3390/atmos15111293","title":"Exploring Climate Change Impacts on Temperature Extremes in the South Saskatchewan River Watershed, Alberta, Canada","year":2024,"lang":"en","type":"article","venue":"Atmosphere","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Lethbridge","funders":"Real Estate Foundation of British Columbia; Mitacs; Alberta Real Estate Foundation; University of Lethbridge","keywords":"Climate change; Watershed; Environmental science; Climatology; Hydrology (agriculture); Physical geography; Geography; Geology; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001700728,0.000211554,0.0001528134,0.000007600001,0.0001496498,0.0001849125,0.0002312056,0.00006053515,0.00314479],"category_scores_gemma":[0.000008289255,0.0001242976,0.00005493287,0.0002853577,0.0000323192,0.0003657732,0.00001345192,0.0002771416,0.0003236227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002065116,"about_ca_system_score_gemma":0.00008942563,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9259045,"about_ca_topic_score_gemma":0.997049,"domain_scores_codex":[0.9986741,0.00006602869,0.0001527308,0.0003011869,0.0002793639,0.0005266033],"domain_scores_gemma":[0.9994428,0.0001935322,0.00002218458,0.000229994,0.00001026292,0.0001012372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008909649,0.000018909,0.8157776,0.0002456905,0.00003390826,0.001135995,0.1449153,0.0003196405,0.0000501671,0.00003725455,0.009937135,0.02743934],"study_design_scores_gemma":[0.0002938237,0.0001403744,0.903857,0.0004621906,0.00002936689,0.00004287187,0.0464759,0.001419281,0.000130623,0.00004432361,0.04661307,0.0004912029],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913,0.001602707,3.331068e-8,0.002133369,0.0007401108,0.0002053876,0.0006853938,0.00002741483,0.003305523],"genre_scores_gemma":[0.9961297,0.0004739124,0.000007191031,0.002053781,0.0004839666,0.00001189764,0.0005587852,0.00001017878,0.0002705729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09843939,"threshold_uncertainty_score":0.9977665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06404067658650514,"score_gpt":0.2229614832821251,"score_spread":0.15892080669562,"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."}}