{"id":"W6904432093","doi":"10.1371/journal.pone.0169597.s001","title":"Summary of the geographical designation and the names of the markets from where the pork, chicken, and horse muscle samples were collected.","year":2017,"lang":"en","type":"article","venue":"Figshare","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Horse; Calibration; Horse racing; Pony","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":[0.0009659809,0.001418118,0.001071071,0.003472923,0.001267217,0.0008993589,0.0009564201,0.0004934056,0.2691872],"category_scores_gemma":[0.003644281,0.0004866006,0.0007188445,0.005949865,0.0003319773,0.001051824,0.0006959116,0.001134537,0.120514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005902169,"about_ca_system_score_gemma":0.001584437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007951629,"about_ca_topic_score_gemma":0.01426709,"domain_scores_codex":[0.9992638,0.00008576157,0.000129784,0.0002727265,0.0001496811,0.00009808271],"domain_scores_gemma":[0.9961278,0.0008153594,0.0005300138,0.0004989871,0.001704755,0.000323134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00107694,0.0002782559,0.01190254,0.003044007,0.0001090401,0.0003705738,0.000309585,0.0003926021,0.03460163,0.002019312,0.8812702,0.06462524],"study_design_scores_gemma":[0.0000674374,0.0002177659,0.0329785,0.000239904,0.00008353806,0.0003997638,0.0003406765,0.0001969642,0.006303671,0.0007543927,0.9583691,0.00004821772],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.006741618,0.0006666152,0.004382092,0.0003094547,0.0007972384,0.0004703014,0.9719354,0.001192528,0.01350482],"genre_scores_gemma":[0.01447823,0.001011622,0.01389979,0.0004865442,0.0001336307,0.0009105932,0.945374,0.0007497707,0.02295581],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2691872,"threshold_uncertainty_score":0.9005209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02358895823120754,"score_gpt":0.2425355381993828,"score_spread":0.2189465799681752,"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."}}