{"id":"W2853531968","doi":"10.1126/science.aau3978","title":"Broad interests reap benefits for science","year":2018,"lang":"en","type":"letter","venue":"Science","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; University of Ottawa; Memorial University of Newfoundland; McGill University; University of British Columbia","funders":"","keywords":"Creativity; Variety (cybernetics); Clearing; Resilience (materials science); Value (mathematics); Engineering ethics; Psychology; Political science; Public relations; Computer science; Business; Engineering; Social psychology; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0005041106,0.0001713565,0.0001317052,0.0004060891,0.0001828549,0.0001665898,0.001169822,0.0001877706,0.00002873167],"category_scores_gemma":[0.0002058819,0.000151778,0.00003720808,0.00110992,0.001411012,0.0002921679,0.00008469333,0.0003802893,0.0001083142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002091787,"about_ca_system_score_gemma":0.0002486639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005949545,"about_ca_topic_score_gemma":0.000002307855,"domain_scores_codex":[0.9982102,0.000001891791,0.0001565965,0.000433499,0.000561091,0.0006367333],"domain_scores_gemma":[0.9992317,0.00003744427,0.00002481349,0.0003996416,0.0001781928,0.0001282354],"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":[4.733377e-7,0.000003795123,0.000002875696,0.0002923045,0.000002796183,0.000001116019,0.0001138655,0.00008358224,0.003787312,0.00007015989,0.9767888,0.01885291],"study_design_scores_gemma":[0.00005634183,0.00004503811,0.0005738,0.000228369,0.000007078599,0.00001079197,0.000006244843,0.01202013,0.005637845,0.0003138349,0.9807849,0.0003156388],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.09562877,0.00389207,0.03815849,0.6982605,0.1320502,0.002688854,0.0004152416,0.004840679,0.02406526],"genre_scores_gemma":[0.3726934,0.0004608442,0.0584998,0.4826605,0.07107687,0.0008526114,0.0003495928,0.0005778347,0.0128286],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2770646,"threshold_uncertainty_score":0.6189328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01953785466111215,"score_gpt":0.2558799074897632,"score_spread":0.236342052828651,"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."}}