{"id":"W4254508147","doi":"10.1515/iupac.73.0588","title":"Sausage","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Table (database); Commission; Food science; Product (mathematics); Chemistry; Biochemistry; Organic chemistry; Polymer science; Computer science; Political science; Mathematics; Law; Data mining","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":[0.0006373221,0.002084897,0.001409641,0.004075619,0.0008213648,0.002029725,0.00186864,0.001795387,0.05022658],"category_scores_gemma":[0.003795292,0.0005263235,0.001672998,0.005250644,0.0003888028,0.00142746,0.001936023,0.001272318,0.07953388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009071109,"about_ca_system_score_gemma":0.001349491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01410794,"about_ca_topic_score_gemma":0.02779004,"domain_scores_codex":[0.9992042,0.0001154794,0.0001122245,0.0002915568,0.0001754869,0.0001010574],"domain_scores_gemma":[0.998533,0.0002886312,0.0002408532,0.0003080432,0.0004955881,0.000133978],"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":[0.0006622316,0.00009390857,0.007737626,0.003906088,0.0001863798,0.0001265697,0.000136321,0.0006854329,0.0007333781,0.0009644828,0.9631102,0.02165746],"study_design_scores_gemma":[0.0001644876,0.00006063407,0.01601432,0.001058307,0.00008515456,0.0001805637,0.0002104304,0.0004103448,0.0005469479,0.001034523,0.9801849,0.00004945892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009068451,0.0002956563,0.00008201274,0.00005649413,0.00003270113,0.00001987796,0.997225,0.0002601185,0.001121246],"genre_scores_gemma":[0.0007181835,0.0001349205,0.0002141514,0.00003983811,0.000006771648,0.00005961015,0.9979854,0.00003840929,0.0008027086],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05022658,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01726777790416929,"score_gpt":0.4271937926112503,"score_spread":0.409926014707081,"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."}}