{"id":"W6901591725","doi":"10.60692/m4fh9-pvh51","title":"Developing a high-resolution gridded rainfall product for Bangladesh during 1901–2018","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Hydrometeorology; Groundwater recharge; Range (aeronautics); Product (mathematics); Precipitation; Correlation coefficient","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007608792,0.0001303703,0.0001697642,0.0003163667,0.0007710968,0.0001464225,0.0001849738,0.00002630143,0.0002589717],"category_scores_gemma":[0.00003044664,0.0001169011,0.00008112894,0.0003827167,0.00001321433,0.0007217175,0.0000219611,0.00007139579,0.0002244182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007389958,"about_ca_system_score_gemma":0.00005825117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006722987,"about_ca_topic_score_gemma":0.000007230547,"domain_scores_codex":[0.9985408,0.00009639662,0.0004792414,0.0001673888,0.0004517258,0.0002645082],"domain_scores_gemma":[0.9993528,0.00001023354,0.0002840082,0.0001753156,0.0001192867,0.00005831724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004659019,0.000003396987,0.8608441,0.001087031,0.0002529658,0.000003055332,0.06619172,0.06558503,0.0000207354,0.0004350968,0.0008544262,0.004256578],"study_design_scores_gemma":[0.00204007,0.00008314248,0.9379358,0.00006824882,0.00007765742,0.00002788464,0.01637067,0.03980407,0.0005081239,0.00001668473,0.002573411,0.0004941975],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765826,0.00001354541,0.01980026,0.0002395378,0.0008467055,0.0006856731,0.0004381244,0.0002091927,0.001184311],"genre_scores_gemma":[0.9974501,1.209506e-7,0.001582872,0.0001123219,0.0001458294,0.00006096861,0.0005180855,0.000003189766,0.0001265339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07709178,"threshold_uncertainty_score":0.5930731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04585893403009478,"score_gpt":0.1987497215362865,"score_spread":0.1528907875061918,"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."}}