{"id":"W6950385812","doi":"10.5281/zenodo.7398966","title":"Carpoglyphus lactis","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sugar; Wine; Dried fruit; Shrimp; Dried fish","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":[0.0001117388,0.0009227537,0.0003630733,0.003650001,0.001291995,0.0004281405,0.0005076404,0.0003169003,0.01675905],"category_scores_gemma":[0.0002051753,0.0002562025,0.0002584368,0.001847692,0.0004715426,0.0006191508,0.0007745469,0.0003247261,0.006860236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009001048,"about_ca_system_score_gemma":0.0004305056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01802433,"about_ca_topic_score_gemma":0.0362047,"domain_scores_codex":[0.9998298,0.000007895056,0.00001153215,0.00008567105,0.00003942434,0.00002565726],"domain_scores_gemma":[0.9998684,0.00001435107,0.00004716359,0.000009328915,0.00002805338,0.0000326884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002743075,0.0002840976,0.1051432,0.00187122,0.0001611081,0.004644013,0.004500941,0.0005436318,0.2392625,0.001649743,0.01705866,0.6221377],"study_design_scores_gemma":[0.00009926573,0.0004029882,0.7842001,0.0003200056,0.0001377824,0.00559641,0.002590367,0.0003369068,0.007695662,0.0006531576,0.1978681,0.00009936027],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8044046,0.005078246,0.001330122,0.0001851598,0.0001290556,0.0001870707,0.006168025,0.0009604914,0.1815572],"genre_scores_gemma":[0.941353,0.002091537,0.003043136,0.0002400969,0.00007958754,0.0001378511,0.005281594,0.0001012522,0.04767199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01802433,"threshold_uncertainty_score":0.05606467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01851916567340101,"score_gpt":0.2202367418815793,"score_spread":0.2017175762081783,"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."}}