{"id":"W2773063181","doi":"10.5065/d68s4n0q","title":"Chukchi Sea Sediment Core Lipid Analysis, Station 2 (ASCII). Version 1.0","year":2007,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"ASCII; Benthos; Sediment core; Oceanography; Core (optical fiber); Sediment; Geology; Mineralogy; Environmental science; Meteorology; Engineering; Paleontology; Geography; Benthic zone; Telecommunications; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0006204649,0.002090433,0.001096489,0.005356811,0.000820523,0.001394892,0.002307862,0.0008426612,0.02589185],"category_scores_gemma":[0.001996679,0.0008915794,0.0006271378,0.009887979,0.0002923523,0.0006519532,0.001449922,0.001342398,0.03557414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001616652,"about_ca_system_score_gemma":0.004892748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1097419,"about_ca_topic_score_gemma":0.1771859,"domain_scores_codex":[0.9995387,0.00002678527,0.00006733534,0.00009943369,0.0001422995,0.0001255393],"domain_scores_gemma":[0.9982221,0.0001512227,0.0002635986,0.0003481146,0.0007897259,0.0002253994],"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":[0.0002152396,0.00005572063,0.006024217,0.000796597,0.00006571759,0.0000900198,0.00008639428,0.0003452948,0.0006269271,0.0003371316,0.9852895,0.006067124],"study_design_scores_gemma":[0.000374343,0.00003597995,0.09833705,0.0003102303,0.00009858885,0.0001078619,0.0002976033,0.0009583696,0.002279662,0.0005079972,0.896613,0.00007931944],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003299912,0.000005733077,0.00002532471,0.000006705223,0.000003480412,0.000008762139,0.9992704,0.0000878125,0.0002618299],"genre_scores_gemma":[0.0004626828,0.000008870225,0.0001283161,0.000004553329,0.000001028773,0.00004614867,0.9989232,0.00003398085,0.0003910099],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1097419,"threshold_uncertainty_score":0.2182062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05734712843223695,"score_gpt":0.2901961450160117,"score_spread":0.2328490165837748,"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."}}