{"id":"W6887914308","doi":"10.17882/97656","title":"Sedimentary core CAS16-04PC dataset from CASEIS Cruise","year":2023,"lang":"en","type":"dataset","venue":"SEANOE","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Coring; Cruise; Core (optical fiber); Sedimentary rock; Core sample; Submarine pipeline; Raw data; On board; High resolution","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":[0.00061045,0.00270638,0.001446883,0.003813023,0.0009053313,0.001626678,0.002522846,0.001884115,0.0148935],"category_scores_gemma":[0.002328092,0.000530304,0.001249755,0.005424931,0.0004558998,0.0008001415,0.001246513,0.001034265,0.03535977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001489166,"about_ca_system_score_gemma":0.002185905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1189703,"about_ca_topic_score_gemma":0.1974149,"domain_scores_codex":[0.9992483,0.00006544023,0.00007596748,0.0002597539,0.0002388501,0.0001116364],"domain_scores_gemma":[0.998885,0.0001069044,0.0001184896,0.0002465516,0.0005243569,0.000118683],"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":[0.0002036565,0.00009830139,0.007893675,0.0007903226,0.0001678546,0.0002537329,0.00007233484,0.002194356,0.0008264831,0.0003880206,0.9798543,0.007257013],"study_design_scores_gemma":[0.0003592843,0.00004834282,0.04060864,0.000305411,0.00008776448,0.0001780302,0.0001792945,0.003520333,0.001200841,0.0005929114,0.9528363,0.00008282284],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001667678,0.0001441772,0.00007932352,0.00004571316,0.00002812599,0.00001530091,0.9968785,0.0005075449,0.0006335952],"genre_scores_gemma":[0.001027753,0.000032797,0.0001899491,0.000009440789,0.000005608856,0.00002640848,0.9983619,0.00003963498,0.0003065531],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1189703,"threshold_uncertainty_score":0.2365556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07753673964422801,"score_gpt":0.3388802107565639,"score_spread":0.2613434711123359,"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."}}