{"id":"W2562559905","doi":"10.1515/biol-2016-0057","title":"A best-fit probability distribution for the estimation of rainfall in northern regions of Pakistan","year":2016,"lang":"en","type":"article","venue":"Open Life Sciences","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Abbott (Canada)","funders":"","keywords":"Gumbel distribution; Statistics; Probability distribution; Goodness of fit; Distribution (mathematics); Normal distribution; Anderson–Darling test; Mathematics; Log-normal distribution; Kolmogorov–Smirnov test; Statistical hypothesis testing; Extreme value theory","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":[0.004177835,0.0004607231,0.0005742153,0.001849727,0.0005967484,0.000998675,0.0006617968,0.0005694059,0.001881552],"category_scores_gemma":[0.01935118,0.0003398669,0.000743631,0.001094073,0.0006478816,0.001304158,0.0004766829,0.0005202075,0.0003661635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008843843,"about_ca_system_score_gemma":0.001079548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01072573,"about_ca_topic_score_gemma":0.005199019,"domain_scores_codex":[0.9983664,0.0007620058,0.00007621661,0.0003306013,0.0003312129,0.0001336372],"domain_scores_gemma":[0.9908351,0.007094887,0.0005431474,0.0003794969,0.001044938,0.0001024356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006728716,0.0002035551,0.192695,0.0002342408,0.0002820649,0.0007200658,0.0007959586,0.6701701,0.006246233,0.008629388,0.001809296,0.1175412],"study_design_scores_gemma":[0.00004453944,0.0002223715,0.0611563,0.00004442668,0.00003850321,0.0003754693,0.000538923,0.9277173,0.002700081,0.00605015,0.001040219,0.00007176503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6063336,0.0001667588,0.3897985,0.0001349738,0.00001794634,0.0001594128,0.0005937862,0.0007684113,0.002026773],"genre_scores_gemma":[0.9622627,0.00005215859,0.03681241,0.00001650102,0.000006871659,0.00007732734,0.0004748527,0.00003459071,0.000262538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01072573,"threshold_uncertainty_score":0.02209479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04161589001927799,"score_gpt":0.3220712213294411,"score_spread":0.2804553313101631,"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."}}