{"id":"W6911025425","doi":"10.5065/d657193b","title":"Beaufort Sea Sediment Core Lipid Analysis, Station 5 (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; Beaufort sea; Seabed; Core (optical fiber); 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":[0.002088228,0.002245638,0.001595385,0.007513258,0.0008617711,0.002434376,0.003341392,0.001211148,0.04353087],"category_scores_gemma":[0.005916793,0.001538326,0.001321829,0.0115341,0.0004214104,0.001240724,0.00172372,0.00169773,0.0493839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001791102,"about_ca_system_score_gemma":0.004143768,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0713735,"about_ca_topic_score_gemma":0.08467649,"domain_scores_codex":[0.9985061,0.0001513263,0.0002440974,0.0003358168,0.0004998909,0.0002627824],"domain_scores_gemma":[0.99611,0.0009034031,0.0005037656,0.0008650185,0.001361058,0.0002567692],"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":[0.0001698403,0.00004283629,0.002952466,0.001082462,0.00009239405,0.00006330462,0.00009779046,0.0006902791,0.0005992455,0.0005945767,0.9847273,0.008887555],"study_design_scores_gemma":[0.0003261012,0.00003699537,0.03419892,0.0003577713,0.00007018526,0.00006764065,0.0001293108,0.0008455909,0.001393932,0.001165088,0.9613201,0.00008844776],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002310222,0.00001254881,0.0001330609,0.00001489615,0.000006256598,0.00001522702,0.9985102,0.0004865827,0.0005901781],"genre_scores_gemma":[0.0004624405,0.00002066361,0.000699123,0.0000141239,0.000003001454,0.0001232027,0.997922,0.0002183933,0.0005370393],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9286265,"threshold_uncertainty_score":0.1456253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05082418128397076,"score_gpt":0.3624906908236757,"score_spread":0.311666509539705,"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."}}