{"id":"W6948676964","doi":"10.5281/zenodo.1217132","title":"eschnett/SimulationIO: SimulationIO 2.3.0","year":2018,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Water Resource Management and Quality","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Function (biology); Context (archaeology); Process (computing); Component (thermodynamics); Identification (biology)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005251628,0.0002268067,0.0001770729,0.0001845656,0.001231481,0.0005906551,0.001042019,0.0001476131,0.484167],"category_scores_gemma":[0.0001432107,0.0002351771,0.00006565582,0.0004254152,0.0003250846,0.0001268364,0.001936793,0.000172923,0.1825974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001825928,"about_ca_system_score_gemma":7.007616e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001278863,"about_ca_topic_score_gemma":0.000003683639,"domain_scores_codex":[0.9979581,0.0002880258,0.0002453149,0.0005810293,0.0005575879,0.0003699524],"domain_scores_gemma":[0.9989512,0.00001204141,0.0001866513,0.0006583911,0.00004336284,0.0001483754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001266826,0.00005853325,0.00002926313,0.00003173252,0.00003107113,0.000003534138,0.0002211115,0.0003633951,0.00003797276,0.0003298648,0.981873,0.01700789],"study_design_scores_gemma":[0.0002974574,0.00007085522,0.0004851129,0.00002962838,0.00001983389,0.00000414541,0.00003427498,0.001040606,0.00001354609,0.00016851,0.997564,0.000272028],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005341794,0.00001817017,0.002326126,0.0002105207,0.0001117697,0.000549738,0.00007892909,0.001308276,0.9948623],"genre_scores_gemma":[0.03494353,0.00002349801,0.0005102766,0.000225203,0.0006152907,6.122457e-8,0.003223164,0.007456106,0.9530029],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3015696,"threshold_uncertainty_score":0.9590242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02981567009709609,"score_gpt":0.2423213332864727,"score_spread":0.2125056631893766,"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."}}