{"id":"W2033425957","doi":"10.1038/news.2010.429","title":"Taxing times for Canadian postdocs","year":2010,"lang":"en","type":"article","venue":"Nature","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Political science; Law and economics; Business; Public administration; Economics; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001179266,0.0002027237,0.0003360603,0.001736905,0.00967743,0.004563191,0.001024166,0.00249732,0.02226156],"category_scores_gemma":[0.005594412,0.0002673816,0.0005551137,0.003302226,0.0009181774,0.0009173964,0.001496459,0.003110364,0.001445455],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08800272,"about_ca_system_score_gemma":0.1356255,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9869478,"about_ca_topic_score_gemma":0.9962814,"domain_scores_codex":[0.99764,0.00009397842,0.00004780779,0.00007261633,0.0006296288,0.001515964],"domain_scores_gemma":[0.9904327,0.0002970001,0.0006430173,0.00008152003,0.002691289,0.005854469],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001526764,0.0002937398,0.2353799,0.0003048098,0.0001196909,0.001129392,0.01136962,0.0009877281,0.0006339019,0.02366848,0.6434163,0.08116966],"study_design_scores_gemma":[0.0001080651,0.0001537491,0.5088987,0.0004041339,0.00008274242,0.0003011152,0.05019331,0.0006395458,0.0003275498,0.001235148,0.4375299,0.0001260288],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.7336111,0.00446372,0.0001565698,0.1469614,0.002494045,0.00009851783,0.01137564,0.00009965972,0.1007393],"genre_scores_gemma":[0.8776298,0.003364604,0.0002041323,0.01183027,0.0003701239,0.0000479164,0.002264287,0.00006274846,0.1042262],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9988207,"threshold_uncertainty_score":0.6385074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0391403109824141,"score_gpt":0.4302792372309282,"score_spread":0.3911389262485141,"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."}}