{"id":"W6912948492","doi":"10.5443/11444","title":"URQSUK: An integrated research program on arctic marine fat and lipids","year":2012,"lang":"en","type":"dataset","venue":"Canadian Polar Data Network","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arctic; The arctic; Research program; Consumption (sociology); Variety (cybernetics); Human health; Public health; Composition (language)","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":[0.01170577,0.0009174463,0.0009800129,0.002419667,0.001361545,0.001341544,0.002086135,0.0009258351,0.01521874],"category_scores_gemma":[0.004569294,0.0004086839,0.001121308,0.001713434,0.0004775131,0.0006861502,0.005898079,0.001186297,0.002980381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002615141,"about_ca_system_score_gemma":0.02569263,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04028844,"about_ca_topic_score_gemma":0.0324201,"domain_scores_codex":[0.9957575,0.002395727,0.0001348995,0.0003232799,0.0006523735,0.0007361609],"domain_scores_gemma":[0.9878385,0.001272801,0.0004823618,0.0005331477,0.003330441,0.006542764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01532984,0.004437047,0.1066288,0.002938483,0.0003631741,0.0008660028,0.002434824,0.002256616,0.01592804,0.0105786,0.2564362,0.5818023],"study_design_scores_gemma":[0.002481454,0.006597823,0.4496272,0.002582354,0.0004197032,0.0004248804,0.002436255,0.00420928,0.006484198,0.002335077,0.5223055,0.00009625668],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.3786118,0.04828156,0.0442497,0.06263412,0.01805738,0.05262692,0.1922716,0.005988888,0.1972781],"genre_scores_gemma":[0.4550778,0.0293249,0.1568015,0.01174358,0.004071396,0.04175317,0.1174056,0.00147472,0.1823474],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.9597116,"threshold_uncertainty_score":0.08010787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1197560209693644,"score_gpt":0.3723725236668896,"score_spread":0.2526165026975252,"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."}}