{"id":"W4280538237","doi":"10.5281/zenodo.6564283","title":"D6.11 SSHOC Trainer Toolkit (final)","year":2022,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canarie","funders":"Rural Development Administration; European Commission","keywords":"Trainer; Computer science; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005091907,0.0004467542,0.0006384788,0.000642454,0.01323765,0.000268145,0.002343713,0.0005732009,0.340756],"category_scores_gemma":[0.006437743,0.0004792339,0.0002160094,0.001084774,0.0002685972,0.000229943,0.00381048,0.003562395,0.03673174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003039214,"about_ca_system_score_gemma":0.0003092199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001808607,"about_ca_topic_score_gemma":0.00006802713,"domain_scores_codex":[0.9912491,0.002787449,0.001446585,0.001117508,0.00205161,0.001347678],"domain_scores_gemma":[0.9934621,0.000287122,0.0008007574,0.001408075,0.003538665,0.0005032754],"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":[0.00007151526,0.0001118894,0.00006819383,0.0009355604,0.00005809005,0.00008156818,0.004342549,0.0000318514,0.00006386073,0.002705839,0.9173038,0.07422528],"study_design_scores_gemma":[0.0001771428,0.0002499738,0.0002813822,0.0002544807,0.00004467916,0.0001064829,0.004893598,0.0001108355,0.00001248769,0.0003124254,0.9931163,0.0004402061],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004933876,0.0006739699,0.0004695804,0.003942261,0.003421312,0.003363641,0.002796048,0.00257046,0.9778289],"genre_scores_gemma":[0.2234176,0.009962348,0.0007820898,0.005622257,0.01616465,0.00001092965,0.08016124,0.03899007,0.6248888],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3529401,"threshold_uncertainty_score":0.9997659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3728526786350513,"score_gpt":0.4568115386404643,"score_spread":0.08395886000541297,"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."}}