{"id":"W2614503416","doi":"10.2110/jsr.2017.29","title":"A METHODOLOGY FOR DETERMINING ORIENTATIONS IN UNSCRIBED CORE","year":2017,"lang":"en","type":"article","venue":"Journal of Sedimentary 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":"Geology; Core (optical fiber); Geometry; Computer science; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003081683,0.00005717346,0.0001574131,0.0001364044,0.0004800519,0.00005420025,0.0003945392,0.00002963281,0.0002496556],"category_scores_gemma":[0.0003447062,0.00004655927,0.00005197562,0.00008171653,0.0002561461,0.0004106892,0.0002155313,0.0002108798,0.00001824489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001833175,"about_ca_system_score_gemma":0.00002497122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003527361,"about_ca_topic_score_gemma":0.0003956887,"domain_scores_codex":[0.9987988,0.0001416404,0.0002844519,0.0001172149,0.0004061917,0.000251736],"domain_scores_gemma":[0.9990619,0.0004822889,0.0001602237,0.0001568513,0.00007331363,0.00006540782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003353208,0.0001759258,0.8205018,0.00001590607,0.00006494629,0.0001195115,0.005519439,0.00006566202,0.04314044,0.0002077002,0.01000704,0.1198463],"study_design_scores_gemma":[0.003595998,0.001204962,0.9326861,0.00006575114,0.00002932578,0.00007776343,0.007646172,0.0007102345,0.008337139,0.004635679,0.04084635,0.0001645235],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937824,0.00003535753,0.003262792,0.001952564,0.0002638494,0.0001763961,0.000003325807,0.000001683713,0.0005216062],"genre_scores_gemma":[0.9869001,0.00002110797,0.01151062,0.0001208357,0.00009217284,0.00002234402,0.000001423816,0.000006140544,0.00132525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1196818,"threshold_uncertainty_score":0.369222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4596649587738125,"score_gpt":0.5022113919239547,"score_spread":0.04254643315014223,"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."}}