{"id":"W6931370821","doi":"10.5281/zenodo.7013436","title":"CREMMA Medii Aevi","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Obesity and Health Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Field (mathematics); Process (computing); Work (physics); Identification (biology)","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":[0.001886086,0.001338173,0.0009069709,0.003800347,0.00096829,0.005376071,0.002063228,0.001210911,0.7398192],"category_scores_gemma":[0.009498436,0.001042651,0.0009052106,0.003857105,0.000525996,0.00398848,0.003583112,0.001617303,0.7650537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008256091,"about_ca_system_score_gemma":0.001225867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005778463,"about_ca_topic_score_gemma":0.005598554,"domain_scores_codex":[0.9988595,0.0001956645,0.0000973154,0.000212359,0.0004914369,0.0001437363],"domain_scores_gemma":[0.997607,0.0005150872,0.000160504,0.0005679557,0.0009447912,0.0002046093],"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":[0.00008812547,0.00001529061,0.0001961228,0.0003343408,0.000009099596,0.00001682467,0.00008887664,0.0000666164,0.0001870364,0.002599501,0.949119,0.04727925],"study_design_scores_gemma":[0.00001586609,0.000008937836,0.0004474416,0.0001307378,0.000006085816,0.00005183512,0.00003122921,0.00005952041,0.0003355027,0.001754982,0.9971455,0.00001238118],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001325346,0.001895507,0.01434919,0.002140175,0.001913145,0.0002479346,0.3235256,0.1191956,0.5354074],"genre_scores_gemma":[0.01074269,0.001993618,0.01771824,0.00155649,0.0007233385,0.0007042197,0.2328537,0.1239484,0.6097593],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7398192,"threshold_uncertainty_score":0.3711163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1339162548611949,"score_gpt":0.411935245233973,"score_spread":0.278018990372778,"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."}}