{"id":"W6958038259","doi":"10.6084/m9.figshare.12703839","title":"Additional file 1 of Scent dog identification of samples from COVID-19 patients – a pilot study","year":2020,"lang":"en","type":"other","venue":"Figshare","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Video recording; Identification (biology); Labrador Retriever; Pattern recognition (psychology); Visualization","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001889582,0.0008934461,0.0008468489,0.00100718,0.0009337398,0.0009818554,0.001234247,0.001024164,0.7760468],"category_scores_gemma":[0.02679955,0.0003063029,0.0004697695,0.001079028,0.0001988175,0.001026288,0.0006206302,0.000677973,0.1006034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009938428,"about_ca_system_score_gemma":0.001891458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01023243,"about_ca_topic_score_gemma":0.009964195,"domain_scores_codex":[0.9993956,0.0001510841,0.0001148802,0.0001326891,0.0001274429,0.00007831129],"domain_scores_gemma":[0.9896517,0.006790634,0.0005704885,0.0006313444,0.001991852,0.0003638387],"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":[0.001012447,0.0002943031,0.00297853,0.001588702,0.00001766277,0.0001480545,0.0001111505,0.0001144713,0.0001216166,0.0002806314,0.9721105,0.0212218],"study_design_scores_gemma":[0.009201727,0.002130157,0.08382997,0.006917836,0.0002018807,0.002336648,0.001792828,0.002161468,0.001860439,0.004373449,0.8849934,0.0002001565],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002380484,0.00009431241,0.0009890056,0.000712776,0.0002129492,0.002354849,0.9876857,0.0005179803,0.005052016],"genre_scores_gemma":[0.04601109,0.0008106859,0.01669084,0.003271868,0.0006717246,0.04182523,0.8358423,0.00108466,0.05379166],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7760468,"threshold_uncertainty_score":0.3194421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04555057157982241,"score_gpt":0.2443078239252306,"score_spread":0.1987572523454082,"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."}}