{"id":"W2761070365","doi":"10.2166/wcc.2017.097","title":"Assessment of climate change impact on rainfall for studying water availability in upper Mahanadi catchment, India","year":2017,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Drainage basin; Forcing (mathematics); Climatology; Climate change; Hydrology (agriculture); Geography; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002650661,0.0002481215,0.0005356114,0.0001192408,0.0002896153,0.0001050532,0.0003402463,0.0001104932,0.0005838142],"category_scores_gemma":[0.00001693521,0.0001378303,0.0001991996,0.00002889588,0.0001574476,0.0007878779,0.0004144571,0.0002110127,0.00001048095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002942239,"about_ca_system_score_gemma":0.000006264483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005588772,"about_ca_topic_score_gemma":0.0002621346,"domain_scores_codex":[0.9979341,0.0000829999,0.0006533477,0.0003057059,0.0003109486,0.0007128958],"domain_scores_gemma":[0.9989702,0.00005975778,0.0003395501,0.000415657,0.00003473535,0.0001801517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002680491,0.0004306696,0.9816136,0.0001973724,0.00002956956,0.00001451016,0.008273648,0.00002997938,0.006946678,0.00003265179,0.00001891968,0.002144372],"study_design_scores_gemma":[0.001873641,0.0009426852,0.9922272,0.0001808781,0.00005992044,0.00001550945,0.0003823606,0.0006117998,0.002699759,0.0005664364,0.0002067652,0.0002330294],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967132,0.00002237601,0.000004651134,0.0008386376,0.0002345264,0.0007354572,0.0001407401,0.000005082608,0.001305354],"genre_scores_gemma":[0.9983795,0.0009746,0.0001759366,0.0002247048,0.0001286095,0.00006999049,0.00001645261,0.00001983561,0.00001032472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01061364,"threshold_uncertainty_score":0.6392357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07307850613397998,"score_gpt":0.3376413408062164,"score_spread":0.2645628346722364,"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."}}