{"id":"W6930674666","doi":"10.5281/zenodo.13630812","title":"Datasets and Codes - Toward improved representation of reservoir operation at the larger scales: The role of calibration, the trade-off between reservoir release and storage, and the issue of error accumulation in long-term simulations","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Representation (politics); Reservoir modeling; Production (economics); Key (lock)","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":[0.001843019,0.002039795,0.001191987,0.001543365,0.0007115823,0.002047178,0.00393764,0.003236897,0.01462126],"category_scores_gemma":[0.008609799,0.000810285,0.002126803,0.003401074,0.0007078659,0.001194504,0.001486777,0.002528968,0.01616388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536911,"about_ca_system_score_gemma":0.001662469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02637174,"about_ca_topic_score_gemma":0.04976826,"domain_scores_codex":[0.999094,0.0002664667,0.00009890411,0.0002731031,0.0001803434,0.00008726676],"domain_scores_gemma":[0.9974781,0.0009417076,0.000157617,0.0008763138,0.0003946723,0.0001516054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003611106,0.0001698531,0.004678303,0.001125624,0.0003623263,0.0001069538,0.0000605995,0.04504349,0.0006405971,0.003549327,0.9316952,0.01220652],"study_design_scores_gemma":[0.002156613,0.00008074838,0.01384294,0.0006658182,0.0002237772,0.0002317739,0.0001514174,0.1034021,0.003436437,0.0274095,0.8482147,0.000184216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003403638,0.0002480895,0.002350655,0.0004117639,0.0001014513,0.00003338911,0.9892009,0.003136181,0.001113912],"genre_scores_gemma":[0.00598452,0.0001037148,0.004241159,0.0001148834,0.00001373469,0.0001499143,0.9884437,0.0003077303,0.0006407115],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02637174,"threshold_uncertainty_score":0.05243647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03196372256952627,"score_gpt":0.3079680683389069,"score_spread":0.2760043457693807,"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."}}