{"id":"W6969317094","doi":"10.5683/sp3/a2fzcd","title":"Stochastic Multicloud CAM","year":2024,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Fortran; Documentation; Code (set theory); Source code; Stochastic modelling","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":[],"consensus_categories":[],"category_scores_codex":[0.002017091,0.003931755,0.0026073,0.00208407,0.002087869,0.003429782,0.006922774,0.002308911,0.06136208],"category_scores_gemma":[0.005672675,0.001236912,0.004010836,0.003373637,0.0008315964,0.002746824,0.002721152,0.0038622,0.09241755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001898747,"about_ca_system_score_gemma":0.002922035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04988916,"about_ca_topic_score_gemma":0.07918686,"domain_scores_codex":[0.998212,0.0003078059,0.00008541302,0.0006368466,0.0004390775,0.0003188145],"domain_scores_gemma":[0.9979978,0.0003463732,0.00008574429,0.0008962846,0.0005102878,0.0001635096],"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":[0.0001467914,0.00006460708,0.001374414,0.0004025973,0.0001018874,0.00002996253,0.00003212877,0.005416634,0.000367823,0.001874371,0.9814215,0.008767202],"study_design_scores_gemma":[0.0005449129,0.00009807801,0.006350708,0.0004037703,0.0001340451,0.0001611909,0.0001220641,0.04589896,0.003378237,0.01489956,0.9278476,0.0001608724],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00216301,0.0004221625,0.004177006,0.0002360642,0.0003702777,0.000105197,0.9758214,0.01154027,0.005164642],"genre_scores_gemma":[0.003645706,0.0001251863,0.006048223,0.0001573868,0.00006512534,0.000248923,0.9859864,0.001400683,0.0023224],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06136208,"threshold_uncertainty_score":0.2052766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01969746553393604,"score_gpt":0.2908072413853737,"score_spread":0.2711097758514377,"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."}}