{"id":"W4398546405","doi":"10.7910/dvn/hbikkv/ha5afl","title":"RunC.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; Cloud seeding; Meteorology; Environmental science; Cloud condensation nuclei; Atmospheric sciences; Computer science; Physics; Thermodynamics; Operating system; Aerosol","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":[0.0009621034,0.0033506,0.002115723,0.004455844,0.0008391787,0.003769115,0.003820023,0.001980347,0.2453394],"category_scores_gemma":[0.004941302,0.001224853,0.001747023,0.00859093,0.0005237138,0.002630298,0.00276745,0.002150123,0.3063725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001365116,"about_ca_system_score_gemma":0.001992951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03422006,"about_ca_topic_score_gemma":0.0422713,"domain_scores_codex":[0.9990906,0.0001551458,0.0000896035,0.000317129,0.0001719066,0.0001757557],"domain_scores_gemma":[0.9983309,0.0003520984,0.0001370651,0.0005766558,0.0003782309,0.0002250026],"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":[0.00002524003,0.000006068477,0.0001797721,0.0002390114,0.00002179365,0.00000489437,0.000011441,0.0001303523,0.00002940271,0.0003861209,0.9981313,0.0008346393],"study_design_scores_gemma":[0.0002117869,0.000009843523,0.001370697,0.0001591272,0.00002365738,0.00001674898,0.00004068223,0.0003395297,0.0002041826,0.001565714,0.9960304,0.00002749586],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002810584,0.00002393755,0.00003296901,0.00002775628,0.00001697941,0.000002879004,0.998502,0.0007385976,0.000626687],"genre_scores_gemma":[0.0002370369,0.00004236286,0.0001399082,0.00003251668,0.000008987467,0.00003148302,0.9984469,0.0004135353,0.0006473268],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7546606,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01324533018996066,"score_gpt":0.2059700474124455,"score_spread":0.1927247172224849,"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."}}