{"id":"W3171083800","doi":"10.1038/s41587-021-00941-4","title":"Voices of biotech leaders","year":2021,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kensington Health","funders":"","keywords":"Selection (genetic algorithm); Biotechnology; Business; Biology; Political science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008281891,0.0007120652,0.0006334646,0.0009601877,0.01151395,0.01498798,0.001107254,0.0123556,0.01794337],"category_scores_gemma":[0.02003055,0.0003913079,0.0004532304,0.001117383,0.00508313,0.0062527,0.008807337,0.01592018,0.005358267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004406244,"about_ca_system_score_gemma":0.009144248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002856819,"about_ca_topic_score_gemma":0.004595573,"domain_scores_codex":[0.9890325,0.00334926,0.0001952475,0.0007261586,0.002583805,0.004112929],"domain_scores_gemma":[0.981641,0.00427196,0.001142276,0.0003607348,0.002594908,0.009989208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001555045,0.00007677622,0.00266058,0.0002179335,0.0000247708,0.0009478988,0.02238903,0.00005339395,0.001451816,0.1168298,0.8252581,0.0299343],"study_design_scores_gemma":[0.0000223719,0.00003261735,0.001493083,0.0002078303,0.000006709169,0.0002226916,0.02085566,0.00004051483,0.0001952018,0.007686659,0.9692208,0.00001584293],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01200125,0.0107709,0.0003016479,0.8706746,0.01771907,0.00002339119,0.00008642407,0.00004100133,0.08838175],"genre_scores_gemma":[0.1839222,0.008969245,0.0004145462,0.6540411,0.01388755,0.00008781029,0.0001565848,0.0001378628,0.1383832],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01794337,"threshold_uncertainty_score":0.06002647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008142646321283933,"score_gpt":0.2785583960660318,"score_spread":0.2704157497447479,"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."}}