{"id":"W4393471280","doi":"10.5281/zenodo.1455774","title":"Supporting Data for Modelling a Tracer Experiment in a Discrete Fracture at Smithville, Ontario","year":2018,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"TRACER; Fracture (geology); Econometrics; Computer science; Environmental science; Geology; Mathematics; Geotechnical engineering; Physics; Nuclear physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006800885,0.001757552,0.001090707,0.001905333,0.001239146,0.001789243,0.002895748,0.002232797,0.0731162],"category_scores_gemma":[0.004835643,0.0008162872,0.001324257,0.005683802,0.0007233787,0.0009403788,0.001347636,0.001324088,0.04795568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006030326,"about_ca_system_score_gemma":0.01041271,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7096137,"about_ca_topic_score_gemma":0.8542313,"domain_scores_codex":[0.9993911,0.00005362782,0.00005802915,0.0001409723,0.0002299663,0.0001263075],"domain_scores_gemma":[0.9973737,0.000510066,0.0002118517,0.0005395963,0.001102696,0.0002621677],"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":[0.00006765689,0.00001765988,0.001949955,0.0008171151,0.00004901126,0.00004382194,0.00006432943,0.001822994,0.0001454898,0.0007951062,0.992193,0.002033906],"study_design_scores_gemma":[0.000296786,0.000008553433,0.007469075,0.0003518166,0.00004192565,0.00002965351,0.0001097826,0.001204059,0.0003226938,0.001315647,0.9888155,0.00003440268],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001462506,0.00003076639,0.00005784538,0.00003891185,0.000008833427,0.000005855334,0.9989222,0.0001829441,0.000606343],"genre_scores_gemma":[0.001124936,0.0000743148,0.0002845256,0.00002558221,0.000003372225,0.00004574775,0.9973379,0.00009791449,0.001005725],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2903863,"threshold_uncertainty_score":0.5841928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05145970080976719,"score_gpt":0.2822857845609234,"score_spread":0.2308260837511562,"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."}}