{"id":"W4321469986","doi":"10.25582/data.2020-11.2084586/1933484","title":"Data for EMSL Project 51616 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 British Columbia","funders":"Environmental Molecular Sciences Laboratory","keywords":"Geography","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":[0.0009774952,0.002017297,0.001166593,0.003580486,0.0006064004,0.001697165,0.001948396,0.001979582,0.0525484],"category_scores_gemma":[0.004962467,0.0005033322,0.001060691,0.007035038,0.0003283159,0.001636779,0.001356285,0.001448114,0.08907679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001492661,"about_ca_system_score_gemma":0.002215949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03299098,"about_ca_topic_score_gemma":0.04931087,"domain_scores_codex":[0.9988145,0.0001896955,0.000148237,0.0003218283,0.000363918,0.0001619407],"domain_scores_gemma":[0.9983371,0.0002976121,0.0001999526,0.0003523539,0.000624174,0.0001887405],"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":[0.00005448517,0.00001407335,0.0004574534,0.0002585502,0.00002071893,0.00001074958,0.000006081898,0.0003227713,0.00007168459,0.0003024436,0.9971917,0.001289253],"study_design_scores_gemma":[0.0002006508,0.00002336703,0.005107984,0.0002202209,0.00002986979,0.00003710194,0.00005789244,0.000634415,0.0003685104,0.00133055,0.9919626,0.00002673191],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001081695,0.00005815736,0.0000332059,0.00007045644,0.00002385176,0.000004022816,0.9989339,0.0001860894,0.0005821396],"genre_scores_gemma":[0.000260986,0.000035852,0.00008881414,0.00003427426,0.000006374755,0.000016035,0.9990416,0.00002932094,0.0004866207],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0525484,"threshold_uncertainty_score":0.1757919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02277841819362247,"score_gpt":0.2513605646840012,"score_spread":0.2285821464903787,"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."}}