{"id":"W4398328212","doi":"10.7910/dvn/phwtp6/xhkrwi","title":"blc20161017_03.txt","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Riometer; Geology; Ionosphere","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001254171,0.003083946,0.002345529,0.005259593,0.001117211,0.005021672,0.004237664,0.002978793,0.3498726],"category_scores_gemma":[0.008812767,0.001273681,0.001446835,0.01275832,0.000675742,0.003229653,0.003390065,0.002239656,0.3739495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00234671,"about_ca_system_score_gemma":0.002827259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04223336,"about_ca_topic_score_gemma":0.04774798,"domain_scores_codex":[0.9987717,0.0002008696,0.0001300327,0.0003649858,0.000256661,0.0002756555],"domain_scores_gemma":[0.9968907,0.000843096,0.0003156561,0.0007792364,0.0007658197,0.0004055846],"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":[0.00002421096,0.000005302205,0.0001449082,0.0002788008,0.00001315339,0.000004852338,0.000008873521,0.00009767919,0.00002596407,0.0003430643,0.9984114,0.0006416501],"study_design_scores_gemma":[0.0001815547,0.000009160117,0.001208559,0.0002311717,0.00001753814,0.00001401166,0.00004428667,0.0001937743,0.0001705436,0.001493648,0.9964103,0.00002535111],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001331138,0.00002063501,0.00001704903,0.00004293571,0.00001462209,0.000002474809,0.9991378,0.0002537783,0.0004974468],"genre_scores_gemma":[0.0001776987,0.00004434692,0.00007870329,0.00005697875,0.00001061198,0.00003277036,0.9987047,0.0001785646,0.0007156217],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6501274,"threshold_uncertainty_score":0.9273279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008247492343392926,"score_gpt":0.1968703384753416,"score_spread":0.1886228461319487,"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."}}