{"id":"W4398352542","doi":"10.7910/dvn/hbikkv/zv7qjm","title":"run_a.dsd","year":2019,"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; Meteorology; Environmental science; Atmospheric sciences; Cloud seeding; Cloud condensation nuclei; Computer science; Physics; Aerosol; 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":[0.0009578778,0.002451878,0.001199051,0.003097993,0.0008651843,0.00282466,0.002442374,0.001257373,0.2133378],"category_scores_gemma":[0.004557044,0.00103257,0.001703313,0.004298937,0.0004319735,0.001920719,0.001962494,0.001665138,0.2081253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001310634,"about_ca_system_score_gemma":0.001955081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02664078,"about_ca_topic_score_gemma":0.03413447,"domain_scores_codex":[0.999196,0.000122218,0.00008172545,0.0002930686,0.0001717034,0.0001352211],"domain_scores_gemma":[0.9980457,0.0004839795,0.0001149855,0.0006907496,0.0004884411,0.0001761948],"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":[0.00003716791,0.00001088592,0.0003837289,0.0002068614,0.00003089172,0.0000062493,0.00001736081,0.0002236408,0.00009372784,0.0004998423,0.9970963,0.001393413],"study_design_scores_gemma":[0.000203189,0.00001030773,0.001921837,0.00007189041,0.00002798298,0.00001393291,0.00003532347,0.0005129055,0.0006542523,0.001669212,0.9948468,0.00003235035],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009317548,0.00001711193,0.000116976,0.00005010752,0.00002661124,0.00000871244,0.996111,0.002404228,0.001172128],"genre_scores_gemma":[0.0005426794,0.00003538802,0.0005111394,0.00005364094,0.00001111414,0.00006628467,0.996293,0.001246846,0.001239815],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7866622,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01487345053841236,"score_gpt":0.218457364195464,"score_spread":0.2035839136570516,"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."}}