{"id":"W2795595715","doi":"10.1126/science.aat6008","title":"NextGen VOICES: A postdoc's purpose","year":2018,"lang":"en","type":"letter","venue":"Science","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Association for Canadian Studies","funders":"","keywords":"Variety (cybernetics); Ideal (ethics); Media studies; Sociology; Computer science; Political science; Artificial intelligence; Law","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":[0.007955779,0.0009237658,0.001640949,0.0007874149,0.01046876,0.01047302,0.003074553,0.06124421,0.02778357],"category_scores_gemma":[0.05683188,0.0007298635,0.001317823,0.0005130287,0.006326514,0.006117795,0.005074427,0.07431207,0.01851914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006979017,"about_ca_system_score_gemma":0.01570901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00505828,"about_ca_topic_score_gemma":0.01100339,"domain_scores_codex":[0.9923537,0.001905006,0.0005594979,0.0008505171,0.002839101,0.001492122],"domain_scores_gemma":[0.9702896,0.009000919,0.00150609,0.001556473,0.007391964,0.0102549],"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":[0.00002172912,0.00003448406,0.0001705674,0.00003086317,0.000006914433,0.0008625562,0.000123428,0.00002506121,0.00006615816,0.002049752,0.9935374,0.003071134],"study_design_scores_gemma":[0.00006896794,0.0000554341,0.0004162453,0.0002463091,0.00001731298,0.001196607,0.0008332723,0.0002484194,0.0001501809,0.005905597,0.990815,0.00004652491],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002381433,0.0006807311,0.00008705741,0.9027892,0.09125503,0.00002571163,0.0000239629,0.00003790435,0.004862267],"genre_scores_gemma":[0.003440059,0.0007142675,0.0003284332,0.851314,0.09568766,0.00008925582,0.00002759318,0.0000550721,0.04834357],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06124421,"threshold_uncertainty_score":0.09294534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04952342406215589,"score_gpt":0.373159062464238,"score_spread":0.3236356384020821,"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."}}