{"id":"W6945509976","doi":"10.25545/qwozwh/xk20wn","title":"Supplementary+Data+5+-+DSDP+Site+547B.pdf","year":2024,"lang":"en","type":"dataset","venue":"UNB Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography","funders":"","keywords":"Process (computing); Identification (biology); Product (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001351309,0.00295189,0.002234271,0.003749568,0.001186776,0.005002426,0.003495243,0.002743297,0.5270656],"category_scores_gemma":[0.009658241,0.001334565,0.001355692,0.008388363,0.000764619,0.003127931,0.003358128,0.002232101,0.5264265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001988139,"about_ca_system_score_gemma":0.00271769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0241275,"about_ca_topic_score_gemma":0.03312851,"domain_scores_codex":[0.9988027,0.0002325725,0.0001334156,0.0003672084,0.0002296627,0.0002344122],"domain_scores_gemma":[0.9965132,0.001243599,0.0002713004,0.0007724783,0.0007925038,0.0004069029],"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":[0.00003349385,0.000007805617,0.0001194688,0.0006318826,0.00001199236,0.000005398066,0.0000130208,0.00009759689,0.00005337408,0.0003811837,0.997575,0.001069804],"study_design_scores_gemma":[0.0002022793,0.00001139924,0.0008604305,0.0004355327,0.00001888959,0.00001920533,0.00004878205,0.0001406366,0.0002420823,0.001597249,0.9963961,0.00002733008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001459767,0.00003615001,0.0000290889,0.00004364892,0.00001827662,0.000004550973,0.9987682,0.0002970856,0.0007883963],"genre_scores_gemma":[0.0002050108,0.00008231265,0.0002063111,0.00009172821,0.00001004964,0.00006935878,0.9974958,0.0003728699,0.001466457],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4729344,"threshold_uncertainty_score":0.6745836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03000592032719847,"score_gpt":0.3040449841387799,"score_spread":0.2740390638115814,"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."}}