{"id":"W2064078544","doi":"10.3389/fgene.2012.00123","title":"Making Your Genbank Entry Count","year":2012,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Banana Cultivation and Research","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts","keywords":"GenBank; Computer science; Biology; Computational biology; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002271172,0.001862195,0.002528369,0.01021733,0.004621268,0.009121727,0.003765492,0.003997268,0.8096128],"category_scores_gemma":[0.02040296,0.001397982,0.0011282,0.01095669,0.001105015,0.007932115,0.004009244,0.004942483,0.8382374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001367346,"about_ca_system_score_gemma":0.003192412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004014236,"about_ca_topic_score_gemma":0.004674263,"domain_scores_codex":[0.997143,0.0003990431,0.0004757694,0.0005273952,0.001198958,0.0002559889],"domain_scores_gemma":[0.9860753,0.00192819,0.001005217,0.002448195,0.00645757,0.002085584],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003972416,0.00001625721,0.00009600233,0.0001807353,0.000004359234,0.00006586399,0.00004775663,0.00001096739,0.0006904387,0.0006707315,0.9806674,0.01750976],"study_design_scores_gemma":[0.00001619524,0.00001204301,0.0002842483,0.0001577927,0.00000748003,0.00006613514,0.0001019127,0.00004097286,0.0004035507,0.000862025,0.9980312,0.00001643523],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.001911453,0.001986767,0.009259055,0.0249934,0.04663008,0.0008497591,0.419589,0.02569068,0.4690899],"genre_scores_gemma":[0.006776121,0.003108628,0.01985579,0.008343718,0.007052149,0.0006639884,0.4249066,0.01641434,0.5128787],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9977288,"threshold_uncertainty_score":0.2715642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07686820013043368,"score_gpt":0.2986978206990759,"score_spread":0.2218296205686422,"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."}}