{"id":"W2012683105","doi":"10.2495/sdp-v10-n1-66-75","title":"Using artificial intelligence to forecast monthly rainfall under present and future climates for the bowen basin, Queensland, Australia","year":2015,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"B. Macfie Family Foundation","keywords":"Climatology; GCM transcription factors; Environmental science; Structural basin; Climate change; Meteorology; Precipitation; General Circulation Model; Geography; Geology; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006008006,0.0003222288,0.0002197783,0.0007463486,0.0003980949,0.0007330613,0.0003588131,0.0003167197,0.000738023],"category_scores_gemma":[0.002442906,0.0002353285,0.0002518818,0.0007727292,0.0002426612,0.000576872,0.0003918686,0.0003861182,0.0001184364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001673715,"about_ca_system_score_gemma":0.00145229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3377717,"about_ca_topic_score_gemma":0.2914349,"domain_scores_codex":[0.9998386,0.00004193391,0.00001935984,0.00004052191,0.00004089245,0.0000187174],"domain_scores_gemma":[0.9996108,0.0001567407,0.00006139019,0.00001858513,0.0001086117,0.00004394323],"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":[0.0001537389,0.0001390326,0.08894962,0.0001085657,0.0001599948,0.0002439331,0.0003920457,0.833739,0.003076558,0.0007215798,0.002564148,0.06975178],"study_design_scores_gemma":[0.00002082583,0.0000361886,0.04155129,0.00001348735,0.00002074568,0.00001184047,0.0001415765,0.9563497,0.0003233609,0.0005897388,0.0009270265,0.00001422407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843879,0.0004866002,0.009372687,0.0008037576,0.00004349081,0.00004878038,0.000852853,0.0003076553,0.003696326],"genre_scores_gemma":[0.991645,0.0002270564,0.006268172,0.00003386302,0.00001469198,0.00001957639,0.0006348521,0.00001070317,0.001146033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3377717,"threshold_uncertainty_score":0.6716113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1119697857893861,"score_gpt":0.3346249767381964,"score_spread":0.2226551909488103,"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."}}