{"id":"W4200153775","doi":"10.3897/biss.5.79084","title":"Challenges in Curating Interdisciplinary Data in the Biodiversity Research Community","year":2021,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Museum and Library Services","keywords":"Biodiversity; Data science; Computer science; World Wide Web; Sociology; Ecology; Biology","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":["metaresearch"],"category_scores_codex":[0.3524181,0.001061247,0.00238168,0.006396874,0.03203478,0.04326441,0.01106813,0.01650414,0.008653942],"category_scores_gemma":[0.2909106,0.00273893,0.00372473,0.008078378,0.02790744,0.04875079,0.04578469,0.03522647,0.004928947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01589263,"about_ca_system_score_gemma":0.07210276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02392981,"about_ca_topic_score_gemma":0.03085223,"domain_scores_codex":[0.6320409,0.258964,0.01475962,0.02383729,0.05865951,0.01173881],"domain_scores_gemma":[0.392109,0.4000667,0.01185432,0.03791557,0.1190978,0.0389565],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001000157,0.0001691249,0.004220444,0.002351748,0.0001850641,0.0008855322,0.1007081,0.001097553,0.001947588,0.08945972,0.5760939,0.2227813],"study_design_scores_gemma":[0.00001963063,0.00002905883,0.001146057,0.002900411,0.00002942456,0.0003027664,0.05793463,0.0006100904,0.0003757672,0.05568377,0.8808369,0.0001314883],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.004856014,0.009781355,0.03996833,0.9232689,0.008924858,0.000484302,0.0004069482,0.0003394629,0.01196992],"genre_scores_gemma":[0.1177127,0.02554466,0.2172058,0.5852863,0.01673265,0.004632857,0.002908103,0.002212276,0.02776469],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6475819,"threshold_uncertainty_score":0.7985837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2020974449310315,"score_gpt":0.3710101998616476,"score_spread":0.1689127549306161,"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."}}