{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001336003,0.0003156221,0.0003496075,0.00007321377,0.0001377177,0.0001615961,0.0008310908,0.0002332374,0.1966303],"category_scores_gemma":[0.0001856713,0.0002693336,0.00009868736,0.000208557,0.00008249372,0.0003230467,0.00008856796,0.0004348676,0.8161128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004647467,"about_ca_system_score_gemma":0.0001481619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002547279,"about_ca_topic_score_gemma":0.00167092,"domain_scores_codex":[0.9984313,0.00005627922,0.000225421,0.0005209094,0.0003747144,0.0003913986],"domain_scores_gemma":[0.9987532,0.0000900289,0.0001419909,0.0006545233,0.00002988836,0.0003303735],"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":[0.00003966353,0.000007792817,0.00009760616,0.0002506536,0.00003274113,0.0003143099,0.000007949602,0.00007664954,1.982079e-7,0.000001265204,0.9977483,0.00142287],"study_design_scores_gemma":[0.0001851226,0.0001037122,0.000465184,0.00004893497,0.00008372319,0.00002311957,0.00001915912,0.0007748131,0.000001923474,0.00003169329,0.9979181,0.0003445428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000009656069,0.000006217761,0.00001190624,0.00001506186,0.0008846631,0.0001720898,0.9976523,0.00006000552,0.001188087],"genre_scores_gemma":[0.00005696923,0.0004901103,0.0001474514,0.001669373,0.0006688077,0.000001371778,0.9967281,0.000005998796,0.0002318374],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6194825,"threshold_uncertainty_score":0.9999759,"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."}}