{"id":"W4255620950","doi":"10.1515/iupac.73.0403","title":"Lipoxins","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Fatty Acid Research and Health","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Table (database); Product (mathematics); Commission; Chemistry; Food science; Biochemistry; Organic chemistry; Polymer science; Computer science; Political science; Mathematics; Data mining; Law","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":[0.001693569,0.001906331,0.001535735,0.003931433,0.0009877152,0.002881415,0.002481711,0.002352847,0.05174746],"category_scores_gemma":[0.008937879,0.0006316391,0.001752829,0.006364753,0.0004771815,0.001572515,0.002168033,0.00212828,0.07531415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001793619,"about_ca_system_score_gemma":0.003303834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01157636,"about_ca_topic_score_gemma":0.01647617,"domain_scores_codex":[0.9981726,0.0003007759,0.0003068176,0.0005646132,0.0004080772,0.0002471981],"domain_scores_gemma":[0.9972894,0.0008014968,0.0004452221,0.0005731636,0.0006544516,0.0002362941],"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":[0.0006925779,0.00008325885,0.006783709,0.004060813,0.0001148659,0.0001248958,0.00008344915,0.0005734835,0.0004748326,0.001908284,0.971162,0.01393772],"study_design_scores_gemma":[0.0004716779,0.00006308287,0.01106134,0.001497109,0.0001022711,0.0002129224,0.0001168177,0.0003439568,0.0006204995,0.002548356,0.9829197,0.00004220648],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004374457,0.00040513,0.0001308356,0.0001282817,0.00004326832,0.00003574567,0.997498,0.0002095082,0.00111184],"genre_scores_gemma":[0.0006963267,0.0003299759,0.0002640127,0.0001388816,0.00001177837,0.0001315378,0.9974617,0.00003671706,0.0009291385],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05174746,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02522473456550393,"score_gpt":0.4512958014525197,"score_spread":0.4260710668870158,"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."}}