{"id":"W6976885084","doi":"10.6084/m9.figshare.21210365","title":"TA_SupplementaryFile_JDS.docx","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Animal health and immunology","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Standard deviation; Statistical analysis; Term (time); Descriptive statistics; Work (physics)","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":["insufficient_payload"],"category_scores_codex":[0.001638901,0.00126142,0.001242509,0.005024879,0.001733775,0.003002811,0.002874714,0.000883433,0.8760388],"category_scores_gemma":[0.02044609,0.001060663,0.001015904,0.007264813,0.0004867142,0.001889827,0.001475007,0.001341959,0.3949596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002331059,"about_ca_system_score_gemma":0.005428807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1716606,"about_ca_topic_score_gemma":0.1867848,"domain_scores_codex":[0.9990037,0.00007239459,0.0001331454,0.0002004298,0.0003456874,0.0002445996],"domain_scores_gemma":[0.9841956,0.006550661,0.000837762,0.001294058,0.006377121,0.0007448212],"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":[0.00006350294,0.00003114083,0.0009437808,0.0004071161,0.00001276353,0.00002037915,0.00003232475,0.00006120055,0.00008581416,0.0002164443,0.9936939,0.004431672],"study_design_scores_gemma":[0.0004653807,0.00006200591,0.02023449,0.0007418643,0.00005577923,0.0001533432,0.0003463375,0.0004048414,0.0007166237,0.002363587,0.9743746,0.00008123372],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0002065923,0.00001829295,0.0002087853,0.00009569566,0.000103598,0.00006797555,0.9943984,0.001081525,0.003819112],"genre_scores_gemma":[0.003301766,0.0001378138,0.002117023,0.0003079795,0.0001347381,0.0004057185,0.9685779,0.002745767,0.02227129],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1716606,"threshold_uncertainty_score":0.3413229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.117389347702404,"score_gpt":0.3553549169890688,"score_spread":0.2379655692866648,"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."}}