{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0005547503,0.001281697,0.001206071,0.0006743216,0.0003229455,0.0002167422,0.002231584,0.000824751,0.006755505],"category_scores_gemma":[0.0002988797,0.001345573,0.0002872103,0.0009854776,0.0003095911,0.0003224177,0.001864914,0.001630253,0.5337021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007147008,"about_ca_system_score_gemma":0.0006876157,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1830716,"about_ca_topic_score_gemma":0.03841937,"domain_scores_codex":[0.9938622,0.0002879935,0.0009102363,0.002016388,0.001620566,0.001302637],"domain_scores_gemma":[0.9930449,0.0006092788,0.0006012567,0.004937417,0.000104149,0.0007029847],"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":[0.0001700114,0.0002136708,0.0000306677,0.0001620021,0.0006971023,0.01194179,0.0000367292,0.00001016974,0.00007634072,7.830872e-7,0.9865789,0.00008183463],"study_design_scores_gemma":[0.001191106,0.00008981849,0.0001345997,0.0002936839,0.001119965,0.00007840091,0.0001544297,0.0000368038,0.00006347358,0.00008119209,0.9953932,0.001363345],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004461443,0.0005050334,2.592861e-7,0.0001250472,0.0033796,0.0009726736,0.9939242,0.0006038066,0.00004322682],"genre_scores_gemma":[0.000001977064,0.0002705613,0.0001151586,0.002047746,0.002222634,0.0001107056,0.9941013,0.0005179261,0.0006119953],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5269466,"threshold_uncertainty_score":0.9999935,"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."}}