{"id":"W6905830078","doi":"10.15468/dl.q5ytqq","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00089878,0.0019475,0.001452048,0.004730369,0.0009578705,0.002341607,0.002592276,0.001852178,0.1619079],"category_scores_gemma":[0.00556923,0.000868943,0.001148876,0.009355395,0.0004381028,0.002110794,0.002479836,0.001744609,0.2220926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001391136,"about_ca_system_score_gemma":0.002208234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01934821,"about_ca_topic_score_gemma":0.03216963,"domain_scores_codex":[0.9990315,0.0001299139,0.0001210988,0.0003507393,0.0002003099,0.0001664389],"domain_scores_gemma":[0.9977491,0.0006192155,0.0002150496,0.0005871906,0.0005653376,0.0002641046],"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":[0.00003171596,0.00001173393,0.0004151296,0.0005104853,0.00001329398,0.00001417253,0.00002146014,0.0001288044,0.0001302148,0.0003504486,0.9968388,0.00153367],"study_design_scores_gemma":[0.00007434323,0.00001059533,0.00194781,0.0001782713,0.00001421343,0.00003671605,0.00006914468,0.0001518457,0.0001978941,0.0007685424,0.9965328,0.00001789437],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005072686,0.00002645583,0.0000424569,0.0000329234,0.00001307752,0.000005301257,0.9987871,0.0003758753,0.0006660183],"genre_scores_gemma":[0.0001676793,0.00003224592,0.0001950365,0.00004507384,0.00000368413,0.00004165414,0.9988785,0.0001434932,0.0004925582],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8380921,"threshold_uncertainty_score":0.5416358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}