{"id":"W2324730709","doi":"10.3189/2013jog12j124","title":"A technique for continuous detection of drill liquid in ice cores","year":2013,"lang":"en","type":"article","venue":"Journal of Glaciology","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Environment Research Council; Fonds Wetenschappelijk Onderzoek; Natural Resources Canada; Centre National de la Recherche Scientifique; Korea Polar Research Institute; Agence Nationale de la Recherche; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Institut Polaire Français Paul Emile Victor; National Institute of Polar Research; Office of Polar Programs; Fonds De La Recherche Scientifique - FNRS; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Drill; Geology; Drilling; Ice core; Drill pipe; Brittleness; Drilling fluid; Mineralogy; Materials science; Composite material; Metallurgy; Oceanography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000512864,0.0003734693,0.0002078522,0.001114944,0.000313277,0.0003355649,0.0004226106,0.0004527391,0.0007157759],"category_scores_gemma":[0.0008265978,0.0002601296,0.0001764274,0.0004599534,0.0004297642,0.0003573243,0.0003849601,0.00037666,0.0002769846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002594574,"about_ca_system_score_gemma":0.00045863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00107169,"about_ca_topic_score_gemma":0.002306533,"domain_scores_codex":[0.9994936,0.0001086758,0.00002832957,0.0001607626,0.0001587952,0.00004973307],"domain_scores_gemma":[0.9991756,0.0003100097,0.0001994705,0.00006560994,0.0001943043,0.00005497328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007043687,0.00002864573,0.003389166,0.00005773664,0.000006854025,0.00004814535,0.00005872091,0.00006688554,0.9856353,0.0000708123,0.00007531708,0.01049205],"study_design_scores_gemma":[0.00002231309,0.0005945632,0.02163049,0.00003524754,0.00003908011,0.0007536701,0.0001330986,0.004274805,0.9696288,0.00008754478,0.002778252,0.00002222074],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7906123,0.001603136,0.2036633,0.0001151005,0.00007543297,0.0002889284,0.0005689121,0.001014428,0.002058462],"genre_scores_gemma":[0.7979332,0.0006086006,0.1995728,0.0001596855,0.00002228281,0.0002444483,0.0002900258,0.00005142914,0.001117598],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001114944,"threshold_uncertainty_score":0.002712309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01486428165430835,"score_gpt":0.2295116060455093,"score_spread":0.214647324391201,"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."}}