{"id":"W6892364555","doi":"10.5065/d6dv1gz0","title":"Chukchi Sea Sediment Core Lipid Analysis, Station 2 (Excel). Version 1.0","year":2007,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Sediment core; Benthos; Core (optical fiber); Seabed; Sediment; Data set","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":[0.001036149,0.001963989,0.001245781,0.005859691,0.0008325906,0.001737097,0.002523973,0.001019298,0.03418283],"category_scores_gemma":[0.00315756,0.001160025,0.000871636,0.01007834,0.000339431,0.001040754,0.001634076,0.001561849,0.03921835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001642968,"about_ca_system_score_gemma":0.004920281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04091503,"about_ca_topic_score_gemma":0.06591408,"domain_scores_codex":[0.9993256,0.00004830726,0.0001516029,0.0001608923,0.0001621193,0.000151345],"domain_scores_gemma":[0.9980422,0.0003584154,0.0002737459,0.0004193055,0.0007269949,0.0001792739],"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":[0.0003553244,0.00007986389,0.006658886,0.002460321,0.0001302608,0.0001234587,0.0001902448,0.000865,0.001596815,0.0008494999,0.9725727,0.01411757],"study_design_scores_gemma":[0.0003794044,0.00004068853,0.05300558,0.0005054621,0.0001312395,0.00009606202,0.0002933502,0.001033292,0.002793633,0.001077471,0.9405358,0.0001079553],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002885189,0.000005916259,0.00006915815,0.000009138149,0.000003596046,0.00001649666,0.9990367,0.0002049563,0.0003654918],"genre_scores_gemma":[0.0004726688,0.00001475679,0.0004736015,0.000007460747,0.000001255601,0.0001741612,0.9983,0.00009878857,0.0004572847],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04091503,"threshold_uncertainty_score":0.1143529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04838534446026768,"score_gpt":0.3591449710735301,"score_spread":0.3107596266132624,"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."}}