{"id":"W4287639084","doi":"10.5281/zenodo.4096959","title":"cb01-(ITA) Possessor Uncut (2020) - Streaming ALTADEFINIZIONE pad","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":[0.0005051387,0.0008072678,0.0003616626,0.001187792,0.00172187,0.004638338,0.0008200493,0.0012527,0.9145585],"category_scores_gemma":[0.001577921,0.0004555518,0.0005146452,0.001101117,0.0002737921,0.003029525,0.002977486,0.001224318,0.8307279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009651359,"about_ca_system_score_gemma":0.0008083701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008165334,"about_ca_topic_score_gemma":0.01944897,"domain_scores_codex":[0.9997223,0.00001956354,0.000007777751,0.00004184171,0.0001172253,0.00009124901],"domain_scores_gemma":[0.9989962,0.00006206244,0.00002451622,0.000134926,0.0003523358,0.000429927],"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":[0.00003191429,0.00001162955,0.00005573196,0.00003854536,7.918374e-7,0.00001943828,0.00003255864,0.000009485703,0.0001700175,0.0008000452,0.98566,0.01316997],"study_design_scores_gemma":[0.000009667899,0.00001136748,0.0004979917,0.00003506295,0.000001095052,0.00002662665,0.0000496773,0.00002573859,0.0001462699,0.0001563821,0.9990355,0.000004656371],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005050682,0.0002087504,0.0004336726,0.0005730218,0.00141132,0.0001502409,0.01155302,0.003645306,0.9815196],"genre_scores_gemma":[0.002130353,0.0001768594,0.0003888126,0.0002699446,0.0002131999,0.00008812177,0.007017705,0.001998396,0.9877166],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08544147,"threshold_uncertainty_score":0.1218718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1179467303021103,"score_gpt":0.299774931021201,"score_spread":0.1818282007190907,"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."}}