{"id":"W7100806775","doi":"","title":"Detecting Mineralization Using Partial Element Extractions: A Case Study Abstract","year":2008,"lang":"en","type":"article","venue":"","topic":"Academic Writing and Publishing","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mineralization (soil science); Glacial period; Matrix (chemical analysis); Signature (topology)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003438266,0.0001010331,0.00009784974,0.00008439172,0.001198533,0.000222408,0.0000562433,0.00003370627,0.001480805],"category_scores_gemma":[0.00008211519,0.00008989376,0.00003804206,0.0000391777,0.00004005336,0.0007239482,0.00002187862,0.0001965668,0.0000131142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004008048,"about_ca_system_score_gemma":0.00003075971,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01638989,"about_ca_topic_score_gemma":0.003648939,"domain_scores_codex":[0.9991055,0.00003956731,0.0003139864,0.0001717102,0.0001741914,0.0001950262],"domain_scores_gemma":[0.9995818,0.00007276602,0.0001092532,0.00009753976,0.0000895869,0.00004909289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007053531,0.002501992,0.08771353,0.0001164904,0.0003533988,0.01034422,0.8231336,0.006047559,0.002285128,0.02461774,0.02145554,0.02136027],"study_design_scores_gemma":[0.001821481,0.0003002226,0.001008493,0.00007631858,0.0001750713,0.009301024,0.8387802,0.03253026,0.0003927883,0.0001615482,0.1144612,0.0009913204],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822539,0.0000376829,0.0005192992,0.00005566014,0.0003235288,0.0001853152,0.000002675663,0.0001543421,0.01646757],"genre_scores_gemma":[0.9961792,0.00000249482,0.0002215853,0.00009747913,0.001563676,0.00001189247,0.000003447986,0.00001450468,0.001905748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09300569,"threshold_uncertainty_score":0.999432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1762574698110081,"score_gpt":0.317247342492654,"score_spread":0.1409898726816459,"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."}}