{"id":"W4398476710","doi":"10.7910/dvn/hbikkv/wfpgbj","title":"RunD1.dsd","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Aeolian processes and effects","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Seeding; Cloud computing; Turbulence; Environmental science; Cloud seeding; Meteorology; Atmospheric sciences; Materials science; Computer science; Physics; Thermodynamics; Operating system","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":[],"category_scores_codex":[0.0009415204,0.003652619,0.002137984,0.003990002,0.0008034782,0.003227615,0.003529212,0.001965323,0.2143905],"category_scores_gemma":[0.004376964,0.001297065,0.002028217,0.007024001,0.0004933618,0.002239577,0.002516897,0.002147385,0.2441008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001148292,"about_ca_system_score_gemma":0.001765174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0279609,"about_ca_topic_score_gemma":0.03706136,"domain_scores_codex":[0.9991465,0.0001421527,0.00008636457,0.0003061367,0.0001526684,0.0001661678],"domain_scores_gemma":[0.9985551,0.0003492829,0.0001182773,0.0004839551,0.0002968609,0.0001964595],"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":[0.00003203921,0.000008149107,0.0002276801,0.0003039853,0.00003006385,0.000005814109,0.00001347981,0.0001796189,0.00004486658,0.0003487519,0.9979162,0.0008894654],"study_design_scores_gemma":[0.0003281428,0.00001419095,0.001923266,0.0001923199,0.00003919065,0.00002286317,0.00004489277,0.0004753146,0.0003146858,0.001787438,0.9948223,0.00003538217],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003869399,0.00002695156,0.00004296944,0.00002730054,0.00001870302,0.000003095697,0.9984658,0.0008959154,0.0004805731],"genre_scores_gemma":[0.0002519326,0.00004054187,0.0001738961,0.00003080615,0.000008191437,0.00003171482,0.9985117,0.0004295366,0.0005216901],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7856095,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01350146037883882,"score_gpt":0.2076373277425862,"score_spread":0.1941358673637474,"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."}}