{"id":"W2113769137","doi":"10.1093/database/bav008","title":"mycoCLAP, the database for characterized lignocellulose-active proteins of fungal origin: resource and text mining curation support","year":2015,"lang":"en","type":"article","venue":"Database","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Resource (disambiguation); Database; World Wide Web; Data curation; Information retrieval","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":[0.00241167,0.004149294,0.004093758,0.01368907,0.002511949,0.003770458,0.003275458,0.002075091,0.01627884],"category_scores_gemma":[0.008664018,0.001256503,0.001954796,0.01485684,0.0006748195,0.003382799,0.003062737,0.002684761,0.02579051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001036813,"about_ca_system_score_gemma":0.007381227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004561638,"about_ca_topic_score_gemma":0.008955815,"domain_scores_codex":[0.9980709,0.0002502115,0.0003764272,0.0005278009,0.0006201776,0.0001545727],"domain_scores_gemma":[0.9968359,0.0008536977,0.0008102382,0.0004199163,0.0006902358,0.0003900277],"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":[0.001745928,0.0003240467,0.004592319,0.03309534,0.0007961937,0.002691192,0.0009559424,0.001554104,0.1174922,0.00523279,0.7142575,0.1172623],"study_design_scores_gemma":[0.0004170505,0.0001452038,0.01156225,0.002077484,0.0005446813,0.002115797,0.0002494981,0.004262634,0.02735299,0.004230516,0.9468619,0.0001801122],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006859228,0.008883377,0.02890291,0.0004905201,0.0002248527,0.0007589229,0.917025,0.02847078,0.008384365],"genre_scores_gemma":[0.004828329,0.002679385,0.04963842,0.0002431492,0.00005475444,0.0006933855,0.9379669,0.002175171,0.001720475],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01627884,"threshold_uncertainty_score":0.05445814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04390842278676899,"score_gpt":0.2526945376424777,"score_spread":0.2087861148557087,"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."}}