{"id":"W4232445429","doi":"10.1515/iupac.73.0595","title":"Sheep Meat","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Table (database); Food science; Product (mathematics); Commission; Chemistry; Biochemistry; Human nutrition; Organic chemistry; Computer science; Mathematics; Political science; 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":[0.0006430822,0.001223685,0.0009119957,0.002510398,0.0004391115,0.001183489,0.001099518,0.001041228,0.0292154],"category_scores_gemma":[0.002796989,0.0003545945,0.0009361249,0.003349831,0.000245966,0.0006923295,0.001021674,0.000777947,0.03866107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006247513,"about_ca_system_score_gemma":0.0008871517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01310724,"about_ca_topic_score_gemma":0.02642027,"domain_scores_codex":[0.9993333,0.00009076203,0.00009754465,0.0002646259,0.0001410123,0.00007267773],"domain_scores_gemma":[0.9989358,0.0002526274,0.0002068353,0.0001943186,0.0003172371,0.00009325356],"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":[0.0005526072,0.00008447378,0.01528006,0.004366739,0.0002157142,0.0002346588,0.0001207325,0.0007203959,0.001028573,0.0009573024,0.9556666,0.02077209],"study_design_scores_gemma":[0.0002028366,0.00004366951,0.03923086,0.0008659697,0.0000976546,0.0002739313,0.0001759764,0.0004131783,0.0007867633,0.0009100635,0.9569679,0.00003104077],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001162235,0.0002537741,0.0001066458,0.00004138346,0.00003039369,0.00001363784,0.9972697,0.0001117641,0.001010425],"genre_scores_gemma":[0.001201468,0.0001427762,0.0002425985,0.00003529913,0.000006411039,0.00003373352,0.9972265,0.00002022698,0.001090839],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0292154,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03459739291715105,"score_gpt":0.3755917504105055,"score_spread":0.3409943574933545,"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."}}