{"id":"W4296023017","doi":"10.3389/esss.2022.10051","title":"Reproducibility in Subsurface Geoscience","year":2022,"lang":"en","type":"article","venue":"Earth Science Systems and Society","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agile Scientific (Canada)","funders":"Imperial College London","keywords":"Reproducibility; Earth science; Government (linguistics); Confidentiality; Data science; Computer science; Environmental resource management; Environmental science; Geology; Chemistry","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3844548,0.001219559,0.00339922,0.008491294,0.007347746,0.02163248,0.006089152,0.005869026,0.009199768],"category_scores_gemma":[0.6338074,0.001444011,0.003204799,0.01149848,0.0383833,0.01993815,0.02208243,0.006918362,0.002237445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01048075,"about_ca_system_score_gemma":0.02544894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006014895,"about_ca_topic_score_gemma":0.0046197,"domain_scores_codex":[0.4347076,0.3447819,0.05833615,0.03845975,0.1187185,0.004996048],"domain_scores_gemma":[0.1761408,0.5569006,0.05585518,0.1237814,0.08337689,0.003945138],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004507907,0.0001373779,0.04945276,0.01582839,0.001017982,0.0009107629,0.05966809,0.003388991,0.002736076,0.3558758,0.05123838,0.4592946],"study_design_scores_gemma":[0.000091075,0.0003849526,0.0254635,0.01389179,0.0005278409,0.001488909,0.01762336,0.00355136,0.004983004,0.4700864,0.4614295,0.0004783407],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06251761,0.05567117,0.5136419,0.1162718,0.01636155,0.004510626,0.005069156,0.002455993,0.2235002],"genre_scores_gemma":[0.7244467,0.01480032,0.2092504,0.02849189,0.004881295,0.005420279,0.00252737,0.00162778,0.00855404],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6155452,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09993759163541668,"score_gpt":0.3588518009897728,"score_spread":0.2589142093543562,"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."}}