{"id":"W2158603182","doi":"10.1002/2015wr017455","title":"Macroweather precipitation variability up to global and centennial scales","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate variability and models","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Precipitation; Scaling; Climatology; Environmental science; Temporal scales; Scale (ratio); Range (aeronautics); Satellite; Meteorology; Atmospheric sciences; Mathematics; Geography; Physics; Geology","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":[0.000320609,0.0002084613,0.000135384,0.000753774,0.0001109046,0.0005526509,0.00009659147,0.0001162387,0.0006215104],"category_scores_gemma":[0.0007283856,0.00008174296,0.0003370028,0.0008486232,0.0001962848,0.0004364428,0.0003440931,0.0001977787,0.0001093071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001076142,"about_ca_system_score_gemma":0.00004978632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002153451,"about_ca_topic_score_gemma":0.001279657,"domain_scores_codex":[0.9999373,0.00000983732,0.000003782709,0.00002505542,0.00001422851,0.000009830698],"domain_scores_gemma":[0.9995416,0.0001693011,0.0001094778,0.00007881809,0.0000692061,0.00003149291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002717586,0.00007043609,0.8619698,0.0000821547,0.0003493964,0.0003291329,0.0005933064,0.04768624,0.02731062,0.002668131,0.001159453,0.05750965],"study_design_scores_gemma":[0.000006524326,0.00004320362,0.9643899,0.00001158904,0.00004411796,0.00006031913,0.00009829437,0.03155481,0.002023579,0.0007832776,0.0009721718,0.00001221123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968677,0.0001143715,0.001296874,0.00002869872,0.000004140101,0.00000290498,0.0004277935,0.00004344725,0.001213991],"genre_scores_gemma":[0.9991929,0.00004847422,0.0003134634,0.000003814756,0.000005994847,0.000002697483,0.0003302555,0.000009294596,0.00009312682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002153451,"threshold_uncertainty_score":0.004281819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07357212357773875,"score_gpt":0.3461639120916308,"score_spread":0.272591788513892,"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."}}