{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005725165,0.001081139,0.0009666462,0.001706393,0.001112713,0.001171131,0.005335164,0.001279291,0.003197896],"category_scores_gemma":[0.001279751,0.001088559,0.00006570765,0.002926654,0.0009942673,0.0008802946,0.00218099,0.005466212,0.009836941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001596859,"about_ca_system_score_gemma":0.002879945,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.829262,"about_ca_topic_score_gemma":0.9857502,"domain_scores_codex":[0.9892234,0.002229682,0.0006944432,0.002242402,0.001197416,0.004412616],"domain_scores_gemma":[0.9834774,0.0003861178,0.0002520503,0.009814641,0.0004165115,0.005653271],"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":[0.0001032529,0.0002146959,0.001466107,0.0001985195,0.0002308823,0.0002444349,0.00001252199,0.00000473297,3.159511e-7,0.00006561043,0.9764292,0.02102969],"study_design_scores_gemma":[0.0003866916,0.0004854412,0.002056664,0.0006143124,0.0002446348,0.00006541245,0.00003244947,0.0002238836,1.605907e-7,0.00006284987,0.9947596,0.00106791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008930194,0.002600195,2.864122e-7,0.000198111,0.001251165,0.002290273,0.9931495,0.0001786847,0.0002425147],"genre_scores_gemma":[0.0003907713,0.0005513499,0.0006997476,0.0006337817,0.008572052,0.0001823462,0.9882714,0.0004230928,0.0002754317],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1564882,"threshold_uncertainty_score":0.9998658,"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."}}