{"id":"W2884668074","doi":"10.15252/embr.201846628","title":"Will biologists become computer scientists?","year":2018,"lang":"en","type":"article","venue":"EMBO Reports","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Data science; Computer science; Engineering ethics; Biology; Computational biology; World Wide Web; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.009063506,0.0001470297,0.000247081,0.000378507,0.0004422442,0.0009929182,0.0008999789,0.00004991619,0.001546669],"category_scores_gemma":[0.00177764,0.0001022407,0.0001140836,0.001313823,0.0005388908,0.000517929,0.001137929,0.00007906235,0.001818018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003582591,"about_ca_system_score_gemma":0.00005552484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005423899,"about_ca_topic_score_gemma":0.00004502753,"domain_scores_codex":[0.9957004,0.0001173931,0.0008982547,0.001380774,0.001492029,0.0004111728],"domain_scores_gemma":[0.9962721,0.0002650105,0.0004560807,0.002378976,0.0004593685,0.0001684131],"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":[0.000004600503,0.00007632722,0.03642737,0.000002181135,0.00001383778,0.0004393153,0.0002171757,0.00005286519,0.00008987109,0.001611721,0.825702,0.1353627],"study_design_scores_gemma":[0.00008729504,0.00008602591,0.07628366,0.00001342169,0.000005440694,0.0002485485,0.00004113579,0.004460067,0.000155512,0.02191523,0.8965045,0.0001992102],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7900326,0.00005743231,0.1312438,0.001358399,0.02577846,0.0002872037,0.00001228561,0.000302608,0.05092714],"genre_scores_gemma":[0.975017,6.163258e-7,0.00750035,0.0005350937,0.0007901338,0.000003115266,0.00001568746,0.000007341107,0.01613073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1849843,"threshold_uncertainty_score":0.999366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1144115839970042,"score_gpt":0.3961363833398038,"score_spread":0.2817247993427996,"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."}}