{"id":"W4321468535","doi":"10.25582/data.2021-11.2387521/1932244","title":"Data for EMSL Project 51615 from November 2021","year":2021,"lang":"en","type":"dataset","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","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":[0.0009868875,0.001615676,0.001075055,0.003656663,0.0005852531,0.00173853,0.001721343,0.001595548,0.08540259],"category_scores_gemma":[0.005653906,0.0005018667,0.0007894883,0.007120104,0.0002732221,0.001382224,0.001485092,0.001263852,0.1217827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001448417,"about_ca_system_score_gemma":0.002461406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0371809,"about_ca_topic_score_gemma":0.05649156,"domain_scores_codex":[0.9988207,0.0001890296,0.0001630871,0.0002775719,0.0003723355,0.0001772326],"domain_scores_gemma":[0.9977985,0.0003489906,0.0002779038,0.0004234332,0.0009500464,0.0002011464],"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":[0.0000386013,0.000007916821,0.0003777086,0.000186255,0.00001269432,0.000008068349,0.000006883261,0.0001676879,0.00004510781,0.0002960651,0.9977722,0.001080804],"study_design_scores_gemma":[0.0001368514,0.00001260708,0.004109028,0.0002005073,0.00001832527,0.00002026222,0.00005646552,0.0002746562,0.0002592803,0.0009923144,0.9939009,0.00001872788],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007440703,0.00002864579,0.00003150568,0.00005662618,0.00001852985,0.00000406859,0.9990147,0.0001316112,0.0006398576],"genre_scores_gemma":[0.000243733,0.0000259485,0.00009757482,0.00003387603,0.000007029951,0.00002252354,0.99864,0.00004585017,0.0008833467],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08540259,"threshold_uncertainty_score":0.2857001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02622758889511375,"score_gpt":0.2505023804522062,"score_spread":0.2242747915570924,"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."}}