{"id":"W4287025541","doi":"10.5281/zenodo.5187959","title":"Clinical Tested Data Materials","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01729736,0.001371729,0.002261146,0.007905758,0.002033957,0.006004879,0.004176977,0.004866884,0.7625259],"category_scores_gemma":[0.1208821,0.001075421,0.002313155,0.005886131,0.00121276,0.004007175,0.003429071,0.002604715,0.333676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003149424,"about_ca_system_score_gemma":0.01648156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003323674,"about_ca_topic_score_gemma":0.007042546,"domain_scores_codex":[0.9859562,0.004423063,0.004183345,0.001105402,0.003758322,0.0005737207],"domain_scores_gemma":[0.8746629,0.05660472,0.006904143,0.01313708,0.04499335,0.003697824],"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":[0.0006607885,0.0001170507,0.0003667955,0.008805252,0.00004883565,0.0001416054,0.00009743327,0.0001280498,0.0001852361,0.002731989,0.908899,0.07781805],"study_design_scores_gemma":[0.0005774968,0.0001694437,0.001049657,0.007534442,0.00006693776,0.0002687777,0.0001653707,0.0001192667,0.0003787884,0.00489164,0.9847373,0.00004078421],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001225241,0.008326191,0.01080378,0.01843444,0.006111553,0.02667061,0.7111311,0.005944956,0.2113521],"genre_scores_gemma":[0.01539927,0.01914268,0.04352154,0.02634738,0.003707873,0.07229366,0.5068845,0.003400503,0.3093026],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2374741,"threshold_uncertainty_score":0.338728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1989936773227939,"score_gpt":0.3254982470730088,"score_spread":0.1265045697502149,"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."}}