{"id":"W6930597568","doi":"10.5281/zenodo.15218950","title":"Conditional Averages of the Reactive Scalars for a Methane Flame","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Biocrusts and Microbial Ecology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Methane; Combustion; Trajectory","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":[0.001184644,0.002187502,0.001389523,0.00176508,0.0005427627,0.001656535,0.002657717,0.00315971,0.02488596],"category_scores_gemma":[0.005838737,0.0007834014,0.00252817,0.002575956,0.0004749944,0.001211821,0.0008352522,0.001923001,0.02558276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001619857,"about_ca_system_score_gemma":0.001646246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02815427,"about_ca_topic_score_gemma":0.05260884,"domain_scores_codex":[0.9990785,0.0001332724,0.00006068356,0.0004084995,0.0002033474,0.0001156006],"domain_scores_gemma":[0.9980875,0.0008566572,0.0001750636,0.0005127407,0.0002645936,0.0001035085],"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":[0.00066305,0.0001543651,0.007270405,0.001815628,0.0003852375,0.00009812284,0.00002989212,0.0216237,0.0007695375,0.002348448,0.9533351,0.01150658],"study_design_scores_gemma":[0.002898013,0.0002303202,0.0595019,0.0009240983,0.0005502232,0.0005804964,0.0001520198,0.09698628,0.006087216,0.02722531,0.8045251,0.000339045],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002515317,0.0003137171,0.0006882753,0.0001049071,0.00004580196,0.00001233949,0.9942353,0.001457926,0.0006263674],"genre_scores_gemma":[0.007538235,0.0001290759,0.001279717,0.00004967053,0.00001846212,0.00005890078,0.9900706,0.0001530276,0.0007023119],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02815427,"threshold_uncertainty_score":0.08325183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02122303790590489,"score_gpt":0.2291660884775497,"score_spread":0.2079430505716448,"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."}}