{"id":"W6887865334","doi":"10.17882/97657","title":"Sedimentary core CAS16-06PC 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; Sedimentary rock; Core (optical fiber); Slumping; Core sample; Submarine pipeline; Graben; Sediment core","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":[0.0005893655,0.002844283,0.001491476,0.003698956,0.0009774091,0.001690452,0.002652053,0.002031041,0.01511293],"category_scores_gemma":[0.002241328,0.0005399246,0.001328492,0.005220604,0.0004876521,0.0008117484,0.00128751,0.00110417,0.03614071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001556632,"about_ca_system_score_gemma":0.002311488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1256216,"about_ca_topic_score_gemma":0.2116973,"domain_scores_codex":[0.9992232,0.00006535913,0.00007450607,0.0002727758,0.0002432997,0.0001208795],"domain_scores_gemma":[0.9989753,0.0001038845,0.00009997651,0.0002343302,0.000474127,0.0001123734],"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":[0.0002089722,0.0001049921,0.007306988,0.0007896568,0.0001661112,0.0002598066,0.00006869303,0.00228513,0.0008918822,0.0003795847,0.9799312,0.007606936],"study_design_scores_gemma":[0.000378765,0.00005416666,0.03912711,0.000319806,0.00009511768,0.0001962268,0.0001907509,0.004180942,0.001419724,0.0006743169,0.953272,0.0000909908],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001691888,0.0001533146,0.00008653526,0.00004726963,0.00003185386,0.00001630482,0.9967484,0.000577003,0.0006475035],"genre_scores_gemma":[0.0009669472,0.00003248231,0.0001910927,0.000009792988,0.000005561834,0.00002495112,0.9984354,0.00003769703,0.0002959008],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1256216,"threshold_uncertainty_score":0.2497808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07719086431647544,"score_gpt":0.3383924675307914,"score_spread":0.261201603214316,"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."}}