{"id":"W3010398960","doi":"10.1594/pangaea.905446","title":"Holocene temperature reconstructions for northeastern North America and the northwestern Atlantic, core Big_Round_Lake","year":2019,"lang":"en","type":"dataset","venue":"Publishing Network for Geoscientific and Environmental Data (PANGAEA) (Alfred Wegener Institute for Polar and Marine Research)","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Holocene; Geology; Oceanography; Core (optical fiber); Physical geography; Archaeology; Climatology; Geography","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":[0.000762048,0.001129817,0.0009144399,0.00225924,0.0006010116,0.00148114,0.002279944,0.001076238,0.03520629],"category_scores_gemma":[0.003764616,0.000601503,0.0008919376,0.006097911,0.0002439824,0.001100585,0.001524271,0.001404318,0.03117184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002065775,"about_ca_system_score_gemma":0.003044357,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2126173,"about_ca_topic_score_gemma":0.3246696,"domain_scores_codex":[0.9996025,0.00004849122,0.00006338656,0.0001109063,0.00009842372,0.00007629649],"domain_scores_gemma":[0.9984856,0.0001709041,0.000178414,0.0002170994,0.0007920972,0.0001558001],"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":[0.00003756907,0.0000105026,0.002862707,0.0003477923,0.00004680405,0.00001409871,0.00002296269,0.0002465729,0.00006877533,0.0002201253,0.9940695,0.002052708],"study_design_scores_gemma":[0.0005099448,0.00001174553,0.05320366,0.0005470364,0.00007204833,0.00005806902,0.0001776144,0.0007256447,0.0003107705,0.000778815,0.9435552,0.00004946627],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001948197,0.00005645938,0.00002189008,0.00004269063,0.00001607807,0.000002843661,0.999285,0.0001067434,0.0002734644],"genre_scores_gemma":[0.0007325382,0.0000594211,0.0001730684,0.00002392699,0.000006189842,0.00003360636,0.9985006,0.0000430096,0.0004276302],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7873827,"threshold_uncertainty_score":0.4227594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05894700440924031,"score_gpt":0.2673535555532669,"score_spread":0.2084065511440266,"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."}}