{"id":"W6931515403","doi":"10.5281/zenodo.4694557","title":"LA GRÂCE DE MONTRER SON ÂME DANS LE VÊTEMENT: Tomo 3","year":2015,"lang":"it","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Order (exchange); Representation (politics)","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":[],"consensus_categories":[],"category_scores_codex":[0.001548123,0.0004290843,0.0002886978,0.001084168,0.005617522,0.01034769,0.0008061696,0.00260134,0.03581468],"category_scores_gemma":[0.002370473,0.0003854787,0.0004014948,0.0009077244,0.006519231,0.004588768,0.003072881,0.00357841,0.009899905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005484806,"about_ca_system_score_gemma":0.004289306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01392651,"about_ca_topic_score_gemma":0.03125498,"domain_scores_codex":[0.9986518,0.0002926516,0.00003516499,0.000250519,0.0005136406,0.0002562157],"domain_scores_gemma":[0.9988232,0.0002717621,0.00008700813,0.0001274341,0.0003965543,0.0002940793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003016591,0.00009086803,0.003242405,0.0006055504,0.00001791939,0.001222206,0.03192718,0.0002327772,0.01162924,0.4533039,0.3243716,0.1730545],"study_design_scores_gemma":[0.000003072638,0.00002374813,0.0009845174,0.0001243021,0.000003462477,0.0002349994,0.00210717,0.00004545998,0.001336075,0.005868233,0.989255,0.00001402343],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03563609,0.02425745,0.01853089,0.05866833,0.01348153,0.0001810299,0.0005686379,0.0008834545,0.8477926],"genre_scores_gemma":[0.2115004,0.009986681,0.01611463,0.0115974,0.002273665,0.0001568388,0.0004256272,0.0009900302,0.7469547],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03581468,"threshold_uncertainty_score":0.119812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02316384658917213,"score_gpt":0.2569965068516469,"score_spread":0.2338326602624748,"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."}}