{"id":"W3080684730","doi":"10.1007/s00382-020-05388-y","title":"Object-based tracking of precipitation systems in western Canada: the importance of temporal resolution of source data","year":2020,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"","keywords":"Precipitation; Climatology; Environmental science; Precipitation types; Convection; Meteorology; Geology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005164251,0.0001709931,0.0002117698,0.0009388381,0.0006365047,0.001364732,0.0007417367,0.0003160347,0.0009228517],"category_scores_gemma":[0.002389729,0.0001595259,0.0001623452,0.002994101,0.0003426042,0.0005813254,0.0003897283,0.0002964711,0.000132423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00636963,"about_ca_system_score_gemma":0.007789026,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9843603,"about_ca_topic_score_gemma":0.9884151,"domain_scores_codex":[0.9998325,0.00001796821,0.00001014836,0.00005334321,0.00004940111,0.00003668324],"domain_scores_gemma":[0.9992014,0.0001742732,0.0001081679,0.00005808468,0.000382021,0.00007615918],"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":[0.0003748995,0.0001011522,0.7140203,0.0001468178,0.0002258535,0.0001601801,0.001047286,0.1506015,0.003910696,0.002493039,0.004989479,0.1219289],"study_design_scores_gemma":[0.00002900363,0.00001152964,0.6976939,0.00003263239,0.00005647737,0.00004675356,0.0005576301,0.2959183,0.001346328,0.0006158747,0.003660856,0.0000306935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891554,0.0004895055,0.004689808,0.0002565375,0.00001796935,0.00002142125,0.003220506,0.0001559661,0.001992984],"genre_scores_gemma":[0.9940399,0.0002047676,0.003285286,0.00001512122,0.000004714453,0.000005723386,0.00153026,0.00002020281,0.0008940477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01563972,"threshold_uncertainty_score":0.04621518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0379144906354958,"score_gpt":0.2511855521161109,"score_spread":0.2132710614806151,"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."}}