{"id":"W4310599199","doi":"10.1093/femsyr/foac061","title":"Industry and academia—a perfect match","year":2022,"lang":"en","type":"article","venue":"FEMS Yeast Research","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biology","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":[0.01730371,0.001459996,0.001958281,0.003158433,0.01207686,0.03421694,0.002047592,0.012901,0.07255995],"category_scores_gemma":[0.02215731,0.0007835007,0.0007290575,0.002744617,0.01479035,0.03335574,0.02885495,0.01648696,0.033892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004931977,"about_ca_system_score_gemma":0.01144547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001469104,"about_ca_topic_score_gemma":0.002626299,"domain_scores_codex":[0.9814213,0.00537352,0.0009471728,0.002929521,0.005781889,0.003546626],"domain_scores_gemma":[0.969703,0.002758174,0.0008922811,0.001416754,0.003939234,0.02129055],"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":[0.00009958537,0.0002430481,0.001761388,0.0003209276,0.00003732949,0.0004101004,0.004439263,0.00008222365,0.0005009829,0.2622699,0.6523337,0.07750151],"study_design_scores_gemma":[0.00002464703,0.00007401068,0.0005328962,0.0005150032,0.000005774105,0.0002040571,0.004858546,0.00004768955,0.00006904108,0.03836305,0.9552783,0.00002701659],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002884012,0.01927233,0.003529209,0.7944219,0.0444294,0.00008364424,0.0002099285,0.0004215966,0.134748],"genre_scores_gemma":[0.115358,0.02825379,0.01202181,0.5662578,0.0375287,0.0004380713,0.0004982543,0.0009484772,0.2386953],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07255995,"threshold_uncertainty_score":0.2427372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0634592255425602,"score_gpt":0.378401959219382,"score_spread":0.3149427336768218,"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."}}