{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006378959,0.001391722,0.0008633988,0.002008471,0.001340968,0.005313422,0.003685578,0.001945214,0.3911655],"category_scores_gemma":[0.01705071,0.001460218,0.001306367,0.001776618,0.0006865793,0.004612709,0.0065521,0.002891315,0.3781539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002469882,"about_ca_system_score_gemma":0.005660891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01523854,"about_ca_topic_score_gemma":0.01911564,"domain_scores_codex":[0.9960063,0.0009740835,0.0002562127,0.0003917523,0.001896809,0.0004748726],"domain_scores_gemma":[0.9936512,0.001429715,0.0002168777,0.001258024,0.00284965,0.0005946019],"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":[0.0001563452,0.00005122555,0.0001849715,0.0006953135,0.0000108841,0.00007818328,0.0004810858,0.0006768406,0.0014663,0.005184192,0.9239087,0.0671059],"study_design_scores_gemma":[0.00002440497,0.00002245266,0.0002270566,0.0001535914,0.000004527806,0.00003313178,0.0001290367,0.0003593429,0.0009246917,0.00194703,0.9961414,0.00003327811],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002344865,0.0006987815,0.1551623,0.003231452,0.002526642,0.002166271,0.218298,0.2744435,0.3411281],"genre_scores_gemma":[0.009273463,0.0009470003,0.1096323,0.001869884,0.0003254204,0.004566235,0.323375,0.09521708,0.4547935],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3911655,"threshold_uncertainty_score":0.8684285,"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."}}