{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001131318,0.004208482,0.00223676,0.002161261,0.001298938,0.002352829,0.005254431,0.003822377,0.04082687],"category_scores_gemma":[0.003632891,0.0008378729,0.002243313,0.002832752,0.0007504809,0.001434679,0.002749602,0.002913189,0.07674399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001319485,"about_ca_system_score_gemma":0.002278801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02357837,"about_ca_topic_score_gemma":0.05886554,"domain_scores_codex":[0.9992004,0.0001353235,0.00006829593,0.0002616007,0.0001810602,0.0001534046],"domain_scores_gemma":[0.9990712,0.0001970535,0.00006799325,0.0002816608,0.0002865647,0.00009551438],"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":[0.0001545905,0.00006441053,0.0004556293,0.0008136064,0.0001087566,0.0001034611,0.00002102492,0.0008908855,0.0006985629,0.0003684286,0.9883242,0.007996542],"study_design_scores_gemma":[0.0006771777,0.0001267723,0.005704196,0.0007478531,0.0002658244,0.001148599,0.0001737999,0.005835019,0.003888008,0.005257172,0.9759972,0.0001784193],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009566082,0.0009361453,0.001030883,0.0003374788,0.0001663358,0.00008419267,0.9913344,0.003414836,0.001739205],"genre_scores_gemma":[0.001320736,0.0002459207,0.001624983,0.0001598966,0.00002760899,0.0001318871,0.9951185,0.000252869,0.001117673],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04082687,"threshold_uncertainty_score":0.1365795,"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."}}