{"id":"W7146696887","doi":"","title":"北極圏の氷河上クリオコナイトのストロンチウム同位体比の地理分布","year":2013,"lang":"en","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Polar Research and Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Glacier; Arctic; Groenlandia; δ13C; Coronation; The arctic; Ice caps; Isotope analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000195349,0.0001025767,0.00007330557,0.001884649,0.0003678876,0.000344676,0.00009397431,0.00008320037,0.0007292121],"category_scores_gemma":[0.0001944075,0.00008942665,0.0000675116,0.0009589293,0.0002844116,0.0001377634,0.0001583169,0.00006998153,0.0001252192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005846811,"about_ca_system_score_gemma":0.0004455895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07900914,"about_ca_topic_score_gemma":0.1848608,"domain_scores_codex":[0.9999032,0.000005874895,0.00000603247,0.00002207697,0.00004189621,0.00002096194],"domain_scores_gemma":[0.9998395,0.00001780659,0.0000396245,0.000007137203,0.00007802977,0.00001783228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003369157,0.00001489742,0.876627,0.00003663166,0.00005594244,0.0001561311,0.0007016252,0.0002583015,0.09911193,0.0001996216,0.0003090287,0.02219199],"study_design_scores_gemma":[0.000001147356,0.00001121079,0.9926659,0.000003621724,0.00001009914,0.00005581807,0.0003224803,0.0001369851,0.006229735,0.00002428196,0.0005369674,0.000001634955],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990336,0.00006818483,0.00005999196,0.00000504728,5.492794e-7,0.000001354895,0.0002337005,0.00000341664,0.0005941521],"genre_scores_gemma":[0.9974149,0.0002717084,0.0002922183,0.000008980928,0.000002116355,0.000005077419,0.00108467,0.000003690894,0.0009166463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07900914,"threshold_uncertainty_score":0.1570985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01048301618140971,"score_gpt":0.2356851955402811,"score_spread":0.2252021793588714,"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."}}