{"id":"W4287626880","doi":"10.5281/zenodo.4161039","title":"cb01-(ITA) Possessor Uncut (2020) - Streaming ALTADEFINIZIONE jnh","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","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":[0.0004606375,0.0007273275,0.0003396408,0.001048887,0.001648924,0.00427103,0.0007322518,0.001130043,0.9022327],"category_scores_gemma":[0.001373788,0.0003843071,0.0004576094,0.0008930366,0.0002628421,0.002544698,0.002571028,0.001168863,0.7837913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000892892,"about_ca_system_score_gemma":0.000754603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007466889,"about_ca_topic_score_gemma":0.01967999,"domain_scores_codex":[0.9997622,0.00001500605,0.000006429609,0.00003697085,0.0001009823,0.0000783963],"domain_scores_gemma":[0.9990205,0.00006014658,0.00002186809,0.0001187914,0.0003347915,0.0004439373],"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":[0.00004116917,0.00001264686,0.00007104364,0.00004401476,9.930567e-7,0.00002344489,0.00003791104,0.00001000126,0.0002536958,0.0007488776,0.984447,0.01430921],"study_design_scores_gemma":[0.00001286835,0.00001350894,0.000620463,0.00003831684,0.000001428567,0.00003014602,0.00005623292,0.00003288823,0.0001864288,0.0001491247,0.9988531,0.000005497768],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006589636,0.0001880197,0.000461708,0.0005964288,0.001762275,0.0001744778,0.011978,0.00365142,0.9805287],"genre_scores_gemma":[0.002484576,0.0001782765,0.0004690166,0.0003072909,0.0003156042,0.00009822028,0.007510222,0.002084489,0.9865523],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09776729,"threshold_uncertainty_score":0.1394532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1181498377054344,"score_gpt":0.3001140368765807,"score_spread":0.1819641991711463,"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."}}