{"id":"W3009392362","doi":"10.1594/pangaea.905460","title":"Holocene temperature reconstructions for northeastern North America and the northwestern Atlantic, core Path_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; Oceanography; Geology; Climatology; Core (optical fiber); Physical geography; 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":[0.0007628804,0.001173304,0.0008944597,0.002461522,0.0005923369,0.001532868,0.002214146,0.001083725,0.03609486],"category_scores_gemma":[0.004037063,0.0005936731,0.0008362373,0.006757354,0.0002618316,0.001200422,0.001557965,0.001403811,0.03617594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002126519,"about_ca_system_score_gemma":0.003530064,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1958161,"about_ca_topic_score_gemma":0.3014832,"domain_scores_codex":[0.9995862,0.0000489401,0.00006208962,0.0001170562,0.0001096624,0.00007614783],"domain_scores_gemma":[0.9984528,0.0001780246,0.0001771504,0.0002226801,0.0008130855,0.0001563905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00003151336,0.000009097434,0.002318498,0.0003222714,0.00003828862,0.00001177659,0.00001982394,0.0002392772,0.00006479269,0.0002068458,0.9947183,0.002019691],"study_design_scores_gemma":[0.0004377947,0.00001017926,0.03828992,0.0004577604,0.00005540404,0.00004886914,0.0001373729,0.0006800891,0.0002809459,0.0008292141,0.9587287,0.00004362637],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001668475,0.00005523069,0.00002303291,0.00004274104,0.0000137232,0.000002731887,0.9992894,0.0001331823,0.0002731232],"genre_scores_gemma":[0.0005992344,0.00006041361,0.0001785986,0.00002271956,0.000005738387,0.00003235343,0.9986432,0.00005221885,0.0004054458],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8041839,"threshold_uncertainty_score":0.3893526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0552522926224813,"score_gpt":0.2639443916967092,"score_spread":0.2086920990742279,"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."}}