{"id":"W6924917670","doi":"10.15468/dl.xx2gve","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); Minor (academic)","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":[0.0009293606,0.002012115,0.001538056,0.005079427,0.000983701,0.002495733,0.002667179,0.001904514,0.1764147],"category_scores_gemma":[0.006071857,0.0009222896,0.001161322,0.01012028,0.0004502838,0.002180744,0.002549031,0.00177762,0.2326066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001458806,"about_ca_system_score_gemma":0.002285388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02052682,"about_ca_topic_score_gemma":0.0327717,"domain_scores_codex":[0.9989902,0.0001364745,0.0001289826,0.0003622273,0.0002084999,0.0001735816],"domain_scores_gemma":[0.9975787,0.000685989,0.0002312685,0.0006156371,0.0006106753,0.000277734],"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":[0.00003084184,0.00001094537,0.0003883639,0.0005316292,0.00001338364,0.00001395586,0.00002160749,0.0001222762,0.0001154336,0.0003458531,0.9969457,0.001459982],"study_design_scores_gemma":[0.00007538251,0.000009848694,0.001810243,0.0001851002,0.00001415704,0.00003539218,0.00006915721,0.0001425311,0.0001853721,0.0007646078,0.9966905,0.00001765865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004435396,0.00002538798,0.00003947467,0.00003167163,0.00001195272,0.000004954957,0.9988289,0.0003701969,0.000642942],"genre_scores_gemma":[0.0001662654,0.00003345832,0.0001940372,0.00004551573,0.000003690367,0.00004165679,0.9988641,0.0001597758,0.0004914881],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8235853,"threshold_uncertainty_score":0.590166,"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."}}