{"id":"W4394394474","doi":"10.6084/m9.figshare.10266194","title":"Superresolved HYDI dataset","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00002926183,0.0002151829,0.0001945531,0.00008386442,0.00008610693,0.0002992266,0.002360522,0.0001258259,0.05074225],"category_scores_gemma":[0.00007839429,0.0002185556,0.00008239849,0.0002870373,0.000003306106,0.0002209055,0.001034275,0.0002855241,0.07069063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002690356,"about_ca_system_score_gemma":0.0002163238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001938204,"about_ca_topic_score_gemma":0.000008317562,"domain_scores_codex":[0.9987034,0.00002633157,0.0001870863,0.0005410108,0.0003325871,0.000209557],"domain_scores_gemma":[0.9976754,0.0002355224,0.0001324828,0.001774625,0.00008925865,0.00009277288],"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":[3.227655e-7,0.00002996779,2.719931e-8,0.00007199895,0.00001112372,0.000004595855,0.000002438058,0.00005979425,3.58239e-7,0.0001086536,0.9992487,0.0004620507],"study_design_scores_gemma":[0.00007188552,0.00001189515,0.00002263703,0.0001793145,0.000004584396,0.000004183218,2.590773e-7,0.002676486,0.000002671003,0.0003786259,0.9963855,0.0002619593],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[1.442134e-8,0.00007936755,0.0001428637,0.0001601952,0.000135797,0.0002628894,0.9990225,0.00004819953,0.0001481359],"genre_scores_gemma":[0.000001545228,0.000003313957,0.0003740804,0.0008913837,0.0002280607,0.0001894701,0.9982328,0.000009962676,0.00006935051],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01994838,"threshold_uncertainty_score":0.9501255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06378323031980411,"score_gpt":0.3057475171662664,"score_spread":0.2419642868464623,"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."}}