{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002117741,0.0003058788,0.0004888737,0.000925726,0.0004094718,0.0001614336,0.00152706,0.0003449652,0.0009491166],"category_scores_gemma":[0.001382919,0.0002087799,0.0001240244,0.002383448,0.005974949,0.0003414484,0.0003212809,0.00147648,0.001684118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002490737,"about_ca_system_score_gemma":0.003082802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001406928,"about_ca_topic_score_gemma":0.00001252269,"domain_scores_codex":[0.9934848,0.00004396783,0.0003224988,0.001163007,0.00358199,0.001403718],"domain_scores_gemma":[0.9970618,0.000114854,0.0001335299,0.001275716,0.0008241492,0.0005899824],"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":[0.00002118542,0.00002832241,0.0004226346,0.0001414205,0.000009204088,0.0009798773,0.0005131117,4.792942e-8,0.007620847,0.00001052528,0.9844008,0.005851987],"study_design_scores_gemma":[0.0004805732,0.0007061508,0.002364306,0.0003826304,0.00005067122,0.0004311817,0.0001216626,0.00006952493,0.001885868,0.0001492232,0.9931204,0.0002377755],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0312505,0.001176347,0.00007761252,0.8860747,0.003257304,0.00128603,0.00002352209,0.0001973276,0.07665668],"genre_scores_gemma":[0.005801402,0.0001920964,0.00089282,0.9202925,0.01257388,0.00004120458,0.00004405986,0.00004099721,0.06012106],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0342178,"threshold_uncertainty_score":0.9999642,"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."}}