{"id":"W2953488500","doi":"","title":"All Humans are Humans","year":2017,"lang":"en","type":"article","venue":"Dalhousie review","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005862178,0.0002577032,0.0004646065,0.00007865314,0.001073479,0.0002160981,0.001589361,0.00008398216,0.001305933],"category_scores_gemma":[0.003981694,0.0002292474,0.000150012,0.0001867077,0.0007150819,0.0003379979,0.0004146234,0.000524033,0.001742889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004013687,"about_ca_system_score_gemma":0.00005132587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001536931,"about_ca_topic_score_gemma":0.00004029747,"domain_scores_codex":[0.9974514,0.0001618179,0.0005948057,0.0007085548,0.0006012705,0.0004821475],"domain_scores_gemma":[0.9968895,0.000157392,0.0007324698,0.001968929,0.00009974252,0.000151962],"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":[0.00001681163,0.001524042,0.00162191,0.01476057,0.0000908974,0.0009998956,0.000759123,0.000001069279,0.199238,0.2640263,0.4330276,0.08393376],"study_design_scores_gemma":[0.0002429474,0.00004313102,0.002320607,0.002482482,0.00005741827,0.0000107336,0.000003880652,0.000004605825,0.007073871,0.002774873,0.9846569,0.0003285918],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08910581,0.05345827,0.003171758,0.3259352,0.01096469,0.01095895,0.0008303109,0.003342686,0.5022323],"genre_scores_gemma":[0.5183906,0.2511725,0.0004797459,0.2103307,0.001137752,0.0004535975,0.00004387903,0.0002096106,0.01778161],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5516292,"threshold_uncertainty_score":0.999607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1887117874886909,"score_gpt":0.4046647672231037,"score_spread":0.2159529797344128,"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."}}