{"id":"W6930802356","doi":"10.5281/zenodo.15482189","title":"introlab/openteraplus: OpenTeraPlus v1.3.1","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Session (web analytics); Minor (academic); Key (lock); Service (business); Upload; Selection (genetic algorithm)","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":[],"category_scores_codex":[0.002256249,0.003663987,0.001655972,0.00317287,0.001088743,0.004969248,0.005353243,0.002386566,0.5872909],"category_scores_gemma":[0.01077156,0.002494843,0.001616286,0.001789979,0.0006433413,0.005506793,0.005846758,0.003274151,0.6370071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001350003,"about_ca_system_score_gemma":0.00135808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002174254,"about_ca_topic_score_gemma":0.002370581,"domain_scores_codex":[0.9979703,0.0001809246,0.0001550825,0.0004198779,0.0009406864,0.0003331288],"domain_scores_gemma":[0.995152,0.0008467346,0.0002256937,0.001345353,0.00179354,0.0006366915],"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":[0.0002546864,0.00004803595,0.0002283748,0.0003238047,0.00002474033,0.00006403075,0.00005721044,0.0002636848,0.001760696,0.0009060297,0.9572043,0.0388645],"study_design_scores_gemma":[0.0001303138,0.0000614282,0.001149532,0.0001463539,0.00002502635,0.0002186416,0.00003005025,0.001454626,0.00916386,0.002406917,0.9850835,0.0001297747],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0006662186,0.0002598984,0.02376925,0.0002855033,0.0005156698,0.0002465181,0.03004954,0.896718,0.04748949],"genre_scores_gemma":[0.008942518,0.0003259466,0.0180614,0.001210801,0.0003926866,0.000733312,0.1089539,0.725103,0.1362765],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.5872909,"threshold_uncertainty_score":0.5886794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04165099685391352,"score_gpt":0.3127013020475309,"score_spread":0.2710503051936174,"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."}}