{"id":"W6926413356","doi":"10.25384/sage.23804717","title":"sj-xlsx-4-hol-10.1177_09596836231185827 – Supplemental material for Multi-proxy reconstruction of climate changes in the Lower St. Lawrence Estuary, Canada, during the Middle and Late-Holocene","year":2023,"lang":"en","type":"dataset","venue":"Sage Journals Data","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Holocene; Climate system; Climate state; Global warming","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008472953,0.001643108,0.001451578,0.003816854,0.001554189,0.003298846,0.003094965,0.001632293,0.1791647],"category_scores_gemma":[0.004637479,0.001089198,0.001091065,0.01042669,0.0005001819,0.00115255,0.002105473,0.001831256,0.1272226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006092923,"about_ca_system_score_gemma":0.01433716,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7882563,"about_ca_topic_score_gemma":0.8827711,"domain_scores_codex":[0.9991185,0.00005386797,0.00008391783,0.0001759511,0.000293616,0.0002740519],"domain_scores_gemma":[0.9961041,0.0005883605,0.0003104949,0.000469557,0.00210351,0.0004239552],"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":[0.00002476451,0.00001202152,0.001687991,0.0003116029,0.0000287295,0.00001259182,0.0000355757,0.0002033029,0.00004844325,0.0002744306,0.9961082,0.001252297],"study_design_scores_gemma":[0.0002545126,0.000008913529,0.02188187,0.0003922836,0.00004011943,0.00002542255,0.0002406615,0.0002826193,0.0002465308,0.0005213896,0.9760584,0.0000472512],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004249554,0.00001179171,0.00001488627,0.00001534776,0.000005397897,0.000002885838,0.9995597,0.00005781378,0.0002896597],"genre_scores_gemma":[0.0003774092,0.00003212276,0.0001255774,0.00002151142,0.000004396319,0.00003212671,0.9978439,0.0000785656,0.001484388],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2117437,"threshold_uncertainty_score":0.5993656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0564560818373565,"score_gpt":0.2902614517189128,"score_spread":0.2338053698815563,"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."}}