{"id":"W6944778967","doi":"10.20383/102.0456","title":"SuperDARN 2006 RAWACF/DAT","year":2021,"lang":"en","type":"dataset","venue":"Federated Research Data Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Acknowledgement; Directory; Principal (computer security); Upload; Global Positioning System; Data collection","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":[0.001427236,0.001307236,0.0008627138,0.003713073,0.0009751423,0.003089914,0.002237973,0.001007571,0.2181762],"category_scores_gemma":[0.004859243,0.0009242684,0.00095564,0.00579088,0.0002403601,0.00244574,0.001187251,0.001804402,0.2024405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001486119,"about_ca_system_score_gemma":0.0023789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03863624,"about_ca_topic_score_gemma":0.03244867,"domain_scores_codex":[0.9990175,0.00009659307,0.0001167443,0.0001692199,0.0004692686,0.0001307727],"domain_scores_gemma":[0.9965894,0.0002437213,0.0003045151,0.0006824501,0.002013596,0.0001663283],"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":[0.00006369602,0.00001304099,0.000593501,0.0001117123,0.00001133915,0.00002079143,0.00002890218,0.0001817378,0.0001535627,0.0004198192,0.9916181,0.006783808],"study_design_scores_gemma":[0.0000646404,0.000007975315,0.003807584,0.00007810762,0.000007804154,0.00003095697,0.00005989376,0.0002662484,0.0005150224,0.0006522403,0.9944844,0.0000252737],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000502364,0.00007976787,0.001042409,0.0002269791,0.0002407933,0.00007916477,0.9765837,0.004196985,0.01704786],"genre_scores_gemma":[0.001893872,0.00009202929,0.003750536,0.0001490271,0.00007437932,0.0001568099,0.9823965,0.002418793,0.009068086],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2181762,"threshold_uncertainty_score":0.7298721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2027819441904814,"score_gpt":0.4328411942949148,"score_spread":0.2300592501044334,"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."}}