{"id":"W4321469291","doi":"10.25582/data.2020-11.2085566/1932911","title":"Data for EMSL Project 51305 from November 2020","year":2020,"lang":"en","type":"dataset","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria; University of British Columbia","funders":"Environmental Molecular Sciences Laboratory","keywords":"Computer science","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":[0.001076323,0.002142592,0.001202056,0.003675162,0.0006522441,0.001778059,0.001969844,0.002025653,0.05698501],"category_scores_gemma":[0.00519459,0.0005328605,0.001110994,0.006831945,0.0003454094,0.001703538,0.001442461,0.001475521,0.1027927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001469887,"about_ca_system_score_gemma":0.002273057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02974819,"about_ca_topic_score_gemma":0.04736139,"domain_scores_codex":[0.9986803,0.0002184661,0.0001532477,0.0003673804,0.0004025364,0.0001781304],"domain_scores_gemma":[0.9982815,0.000318986,0.0001891776,0.0004002077,0.0006209186,0.0001891473],"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":[0.00005240853,0.00001339953,0.0003970604,0.0002408905,0.00002004017,0.00001004129,0.000005929911,0.0002994585,0.00006935054,0.0002779405,0.9973717,0.001241628],"study_design_scores_gemma":[0.0001997605,0.00002477358,0.005055508,0.0002186427,0.00003057881,0.00003828462,0.00005743256,0.0006432311,0.0003684491,0.001347714,0.9919883,0.00002725998],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001122311,0.00006062738,0.00003743728,0.00006869333,0.00002597086,0.000004452383,0.9987858,0.0002508166,0.000654106],"genre_scores_gemma":[0.0002482489,0.00003294824,0.00009266789,0.00003371421,0.000006434961,0.00001603238,0.9990403,0.00003593068,0.0004937137],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05698501,"threshold_uncertainty_score":0.1906338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02282406515113836,"score_gpt":0.2515855115593572,"score_spread":0.2287614464082189,"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."}}