{"id":"W4393684781","doi":"10.5281/zenodo.6300959","title":"SuperDARN data in netCDF format (2018-Apr)","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"NetCDF; Computer science; Computer graphics (images); Meteorology; Geology; Geography; Programming language","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":[0.0009726005,0.001507257,0.0009964249,0.002989887,0.0006977887,0.002432229,0.002281863,0.001703512,0.1411545],"category_scores_gemma":[0.005215436,0.0005469736,0.001167019,0.004346831,0.0003530692,0.002013794,0.002025216,0.001798397,0.2080661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001412954,"about_ca_system_score_gemma":0.001783758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01614831,"about_ca_topic_score_gemma":0.02553929,"domain_scores_codex":[0.9991838,0.0001044595,0.0001083514,0.0002277221,0.0002354938,0.0001401463],"domain_scores_gemma":[0.9981157,0.0003521454,0.0001506289,0.0005131945,0.0007145762,0.0001537971],"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":[0.00003048339,0.00001044881,0.0004097295,0.0002451553,0.00001143093,0.00001551063,0.00001427858,0.0001664383,0.00009261771,0.0003768,0.9964169,0.002210245],"study_design_scores_gemma":[0.00006714417,0.000006381595,0.001977381,0.0001524769,0.000009088146,0.00003885643,0.00006544738,0.0002229501,0.000319865,0.001281327,0.995842,0.00001694752],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009954559,0.00003452674,0.0001878104,0.00006945069,0.00004609985,0.00001210547,0.9975449,0.0008157069,0.00118974],"genre_scores_gemma":[0.0003085935,0.00003555521,0.0005235864,0.000047859,0.000009828935,0.00004550249,0.9977957,0.0002382205,0.0009950501],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1411545,"threshold_uncertainty_score":0.4722087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08075385400621381,"score_gpt":0.3231683590880344,"score_spread":0.2424145050818206,"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."}}