{"id":"W2747317713","doi":"10.3897/tdwgproceedings.1.20321","title":"Occurrences: Data resources and Biocache-hub","year":2017,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Oralys (Canada)","funders":"","keywords":"Computer science; Data mining; Atlas (anatomy); Interface (matter); Resource (disambiguation); Database; Simple (philosophy); Information retrieval; Data science; Operating system; Computer network","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":[0.002637885,0.001106781,0.001026276,0.00482809,0.001120873,0.00312534,0.002751641,0.0009467233,0.05439029],"category_scores_gemma":[0.01124629,0.001187079,0.0009749123,0.007110577,0.0005118084,0.005048403,0.005555686,0.001883648,0.04756862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001464277,"about_ca_system_score_gemma":0.002817856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02089519,"about_ca_topic_score_gemma":0.0212994,"domain_scores_codex":[0.9984307,0.0001964651,0.0003073954,0.0004132881,0.000512896,0.0001393107],"domain_scores_gemma":[0.9959369,0.0008068453,0.0003688552,0.001287335,0.001047462,0.0005525351],"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":[0.0002881887,0.00007410775,0.004107072,0.0009785293,0.00005905005,0.0001275158,0.0005757142,0.0006161362,0.001566911,0.005875077,0.9593934,0.02633822],"study_design_scores_gemma":[0.00007562098,0.00002249095,0.006972381,0.0001841768,0.00002820545,0.0001384359,0.0002457526,0.001640971,0.002134911,0.004556254,0.9839247,0.00007608619],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004324129,0.0003858052,0.01801948,0.0006889701,0.0001598753,0.0004338518,0.8651118,0.09068641,0.02018955],"genre_scores_gemma":[0.01031016,0.0002921979,0.03313477,0.0003451454,0.00005266451,0.000985257,0.930743,0.01729568,0.006841144],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05439029,"threshold_uncertainty_score":0.1819537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06419734012507189,"score_gpt":0.2961048077638634,"score_spread":0.2319074676387915,"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."}}