{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002322881,0.0009523909,0.0009091638,0.001356289,0.002804401,0.005279503,0.001134431,0.003859593,0.01968593],"category_scores_gemma":[0.002186264,0.0003376266,0.0002542754,0.001222242,0.0124582,0.003556238,0.003670348,0.004959865,0.007079874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005812821,"about_ca_system_score_gemma":0.01489129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03524673,"about_ca_topic_score_gemma":0.07055642,"domain_scores_codex":[0.9988981,0.0003214301,0.00008064411,0.0001913936,0.0003456505,0.0001627584],"domain_scores_gemma":[0.9993256,0.0002239422,0.00004485298,0.0001009802,0.0002085289,0.00009613003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005245801,0.00003828647,0.0002179535,0.001192238,0.00001761536,0.0001936377,0.001356252,0.0001881566,0.0005609991,0.395604,0.3247427,0.2758357],"study_design_scores_gemma":[0.000002545674,0.000007803234,0.0001438023,0.000411267,0.000002953988,0.00006508976,0.0002466822,0.000006901846,0.00007711482,0.007643157,0.9913863,0.000006448621],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.001302658,0.5496252,0.002338916,0.07450649,0.01026016,0.00004686546,0.0001810734,0.0001609966,0.3615775],"genre_scores_gemma":[0.02585137,0.6035035,0.005157821,0.0621888,0.003090003,0.0001497139,0.0001632052,0.00009762299,0.299798],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.03524673,"threshold_uncertainty_score":0.07008314,"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."}}