{"id":"W6950395167","doi":"10.5683/sp3/aldrmx","title":"Supplemental Files for JDS 24160 publication","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Primer (cosmetics); Table (database); Herd; Treponema; Domain (mathematical analysis)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002592276,0.002168738,0.002620107,0.006987038,0.001729695,0.003379012,0.003700754,0.002275335,0.5702376],"category_scores_gemma":[0.01839591,0.001389082,0.001594616,0.008591539,0.0007427197,0.002220239,0.002969861,0.001645326,0.3571466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00161441,"about_ca_system_score_gemma":0.004212065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01970686,"about_ca_topic_score_gemma":0.05027923,"domain_scores_codex":[0.997664,0.0003294591,0.0002979269,0.0008140365,0.0004833167,0.0004112282],"domain_scores_gemma":[0.9909637,0.004102914,0.0007922583,0.001635714,0.001825363,0.0006799983],"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":[0.00008822216,0.00005327923,0.002147607,0.001582838,0.00007908967,0.00002366158,0.0000424747,0.000365236,0.0002323555,0.0005873207,0.9912429,0.003555128],"study_design_scores_gemma":[0.0004118377,0.00003777773,0.007858111,0.0006845496,0.000112761,0.00007475293,0.0001115337,0.0003295857,0.0004838063,0.002501697,0.9873318,0.00006168414],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004733852,0.00001890665,0.00009783143,0.00001582845,0.00001998343,0.00001286153,0.9990172,0.0002290378,0.0005409491],"genre_scores_gemma":[0.0004283045,0.00004588393,0.0007246575,0.00008781636,0.00001458846,0.0001516856,0.9966133,0.0003117906,0.001621809],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4297624,"threshold_uncertainty_score":0.6130039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04064733863920363,"score_gpt":0.3272499283233583,"score_spread":0.2866025896841547,"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."}}