{"id":"W1996092707","doi":"10.1111/j.1472-4669.2008.00153.x","title":"Training the next scientific generation – A tribute to Terrance J. Beveridge","year":2008,"lang":"en","type":"article","venue":"Geobiology","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Tribute; Nova scotia; Library science; Citation; Humanities; Art; Art history; History; Computer science; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.02624365,0.001216209,0.002093208,0.001686291,0.007656446,0.01160426,0.003212168,0.01702933,0.01709393],"category_scores_gemma":[0.06824835,0.0009096941,0.001147587,0.0009942278,0.009190276,0.01458654,0.005998962,0.0486709,0.01020878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00323189,"about_ca_system_score_gemma":0.01353413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006960146,"about_ca_topic_score_gemma":0.01327971,"domain_scores_codex":[0.9849606,0.004456486,0.0007438116,0.001882927,0.006530855,0.001425363],"domain_scores_gemma":[0.9030672,0.02337944,0.001867386,0.002863639,0.02470102,0.04412137],"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":[0.00001987317,0.00003680977,0.0001362746,0.00003714021,0.000009958007,0.00005321998,0.0001580867,0.00002867396,0.00008604425,0.002735626,0.9876903,0.009007965],"study_design_scores_gemma":[0.00002809628,0.00007152591,0.0004077046,0.0004193478,0.000009456528,0.0002825262,0.001244916,0.0001111349,0.0001440675,0.00969275,0.9875304,0.00005815176],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001062673,0.005407522,0.000228099,0.9572417,0.03541229,0.000005919377,0.00001320331,0.00003195856,0.001553],"genre_scores_gemma":[0.004438115,0.0118286,0.001593204,0.9224263,0.0357847,0.00004068722,0.00003865386,0.0001392573,0.02371048],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02624365,"threshold_uncertainty_score":0.1387913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1261152232433492,"score_gpt":0.2592609839867945,"score_spread":0.1331457607434453,"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."}}